Podcasts about Devex

This week on the Friday Deploy, Ben and Andrew explore Codex's obsession with the isRecord type guard and break down the Linux Foundation's new MCP certification. They also discuss the fundamental mechanics of agentic loops and CircleCI's new agent-first CLI redesign. Finally, they dive into longitudinal research proving that AI creates a massive pull request bottleneck, highlighting why automated code review is the only sustainable path forward.Register: The Engineering Productivity Gap live workshop on July 30Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:I'm pretty sure isRecord is our faultIntroducing the MCPA: the First Official Certification for the Model Context ProtocolIf you give a Goose an MCP serverWhat the hell is a loop, anyway?Rebuilding the CircleCI CLI from scratchAI Writes Faster Than Humans Can Review: A Longitudinal Study of an Enterprise 2x MandateOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

The era of the "two-pizza" engineering team is officially dead, replaced by the "two-slice" team and a massive token budget. This week, LaunchDarkly CTO Cameron Etezadi joins the show to explain why traditional guardrails are breaking down and how engineering teams can regain control using runtime agent frameworks. He introduces the concept of the "dark factory," a highly automated assembly line for safely observing, flagging, and deploying AI-generated code to production. The conversation turns to the new ROI of software development, why engineers must now act as frontline managers, and how to navigate the build-versus-buy dilemma in the modern token economy. As AI speeds up how code gets written, the real bottleneck moves downstream to review, testing, and release, where software either delivers measurable value or quietly stalls. Check out the latest research from LinearB on how to measure that value.Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:LaunchDarkly AgentControl: Learn how to govern your probabilistic AI with runtime agent frameworks at launchdarkly.com/platform/agent-controlThe Goal by Eliyahu M. Goldratt: Read the quintessential business novel on the theory of constraints at AmazonThe Phoenix Project by Gene Kim: Explore the seminal book on IT, DevOps, and business success at IT RevolutionSimAnt: Dive into the history of the 1991 classic electronic ant colony simulation at Wikipedia.Follow Cameron: LinkedIn OFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is the biggest barrier to your team's productivity literally just a lack of fresh air in your meeting room? This week on the Friday Deploy, Ben and Andrew dive into the rise of highly capable open source models like GLM 5.2 and the messy reality of running local AI for coding tasks. The hosts also discuss the cultural shift away from deep reading in a world obsessed with AI summaries, emphasizing the importance of protecting your first brain. Finally, they review a legendary tale from Meta's engineering history.Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:The bottleneck might be the air in the roomGLM-5.2 is the step change for open agentsViability of local models for codingAI Erodes a Legacy of ReadingI Shipped a Facebook Feature So Fast Sheryl Sandberg Called an Emergency Meeting to Stop MeOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Qahir Dhanani is a Managing Director and Partner at Boston Consulting Group, where he leads engagements with multilateral and international financial institutions, as well as with donor and philanthropic agencies. Prior to joining BCG, Qahir held senior positions at the World Bank, including Advisor to the CEO, and began his career at the Aga Khan Development Network. Born in Kenya and raised in Canada, Qahir brings a deeply international perspective to his work on development finance, institutional reform, and global governance. He joined us for this conversation in a personal capacity. We open by exploring Qahir's personal journey into the world of multilateralism, shaped by his family's move from Kenya to Canada at the dawn of the first Gulf War. From there, we ask Qahir to define multilateralism beyond the summits and headlines, and he makes the case that international cooperation quietly underpins the mundane parts of everyday life - from telecommunications to air travel. We trace the evolution of multilateral institutions across decades of geopolitical change & discuss why today's talk of institutional gridlock echoes tensions the system has weathered before, from the Cold War to the end of globalization's heyday.The conversation turns to the concept of "variable geometry" and the growing role of coalitions of small & middle powers in tackling shared challenges, from digital governance to AI regulation. We explore Qahir's co-authored article in Devex on the priorities facing the incoming UN Secretary-General, discussing the difference between acting as a custodian versus an architect of the institution, and what it will take to rebuild trust with citizens, politicians, and UN staff alike. Qahir also shares a memorable analogy about institutional "salamander rules" to explain how bureaucratic processes calcify over time and how AI could help institutions become faster & leaner without abandoning the safeguards that matter. We close by discussing how the private sector's relationship with multilateral institutions is shifting from transactional to collaborative, and why the next wave of innovation and investment opportunity lies in Africa.*****Qahir DhananiBCG: https://www.bcg.com/about/people/experts/qahir-dhanani LinkedIn: https://www.linkedin.com/in/qahir *****Mihaela Carstei, Paul M. Bisca, & Johan Bjurman Bergman co-host F-World: The Fragility Podcast. X: https://x.com/fworldpodcastInstagram: https://www.instagram.com/fworldpodcast/Website: https://f-world.orgMusic:"Tornado" by Wintergatan. This track can be downloaded for free at www.wintergatan.net. Video editing by: Alex Mitran - Facebook (facebook.com/alexmmitran), X (x.com/alexmmitran),or LinkedIn (linkedin.com/in/alexmmitran)EPISODE RESOURCES:Qahir Dhanani, Jim Larson, “Thenext UN chief must architect a new era of multilateralism,” DEVEX, March 11, 2026https://www.devex.com/news/the-next-un-chief-must-architect-a-new-era-of-multilateralism-112027TIMESTAMPS:00:00:00 Intro00:01:20 Qahir's background00:03:45 What is multilateralism & what has it brought us?00:08:07 Responding to the critique that multilateral institutions are stuck in the past00:12:42 Is globalization the driving force of multilateralism: Variable geometry and coalitions00:14:54 The cost of systemic fragmentation00:17:45 Sovereignty vs. shared benefit – the case for mini-lateral cooperation00:21:09 Digital sovereignty & the case for global AI governance00:25:22 Custodian vs. architect: what the next UN Secretary General must be00:29:30 Reform, modernization, & representation – the challenges ahead00:34:58 Rebuilding trust & cutting through institutional bureaucracy00:40:21 Using AI to streamline institutions without cutting corners00:43:07 What does the private sector want from multilateral reform?00:48:14 Public-private partnership in practice00:51:01 Innovation & investment opportunities beyond Europe and the US00:55:05 Advice for the next UN Secretary-General

This week on Dev Interrupted, Slack's Chief Product Officer, Jaime DeLanghe, joins the show to explain why enterprise AI value depends on embedding custom bots directly into your existing team communication loops rather than deploying them inside isolated, single-player chat silos. She breaks down the platform's shift toward open ecosystem standards like the Model Context Protocol (MCP) and how dynamic UI frameworks are transforming standard channels into active execution environments. Jaime details the operational realities of managing autonomous software fleets, including a striking look at how leading companies are placing hundreds of custom agents directly onto their corporate org charts.Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:Slackbot MCP Client: Learn more about connecting your tools to Slackbot via the Model Context Protocol at the Slack BlogSlack Developer Hub: Start building your own agentic workflows and explore the latest tools at slack.devConnect with Jaime: LinkedInOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week on the Friday Deploy, Andrew Zigler is joined by Zapier's Kelly Vaughn to dive into the sudden return of Anthropic's Fable model, the realities of multi-threaded agentic engineering, and why the lowly engineering backlog is finally having its moment. To wrap things up, they review Charity Majors' latest advice on empathetic leadership and explore why the best way to win a workplace disagreement is to stop arguing and let an AI build the proof of concept.Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:Follow Kelly on LinkedInFollow Kelly on SubstackCheck out Kelly's website kvlly.comFollow today's stories:Redeploying Fable 5It's Time To Put Humans Back In The SoftwareThree Ways to Give an AI Agent an IdentityBenchmarking AI Agents for Real Data ScienceWhy I Stopped Arguing With PeoplePaging Charity! How can engineering leaders avoid becoming Bond villains?The backlog is finally getting its momentOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week we discuss Jeremy Lewin's departure from the U.S. State Department's foreign aid bureau to the White House. His transition to the National Security Council ends a controversial leadership marked by the retreat of the U.S. from its long-held role as the world's leading bilateral donor. He is expected to be replaced by Andrew Veprek, who has pushed immigration and refugee restrictions at the State Department. As the United Nations continues to face budgetary constraints, we also analyze the potential merger of two major U.N. development agencies: the U.N. Development Programme, or UNDP, and UNOPS. While Secretary-General António Guterres sees this ambitious development reform as a way to overcome a yawning funding gap, UNDP chief Alexander De Croo and UNOPS Executive Director Jorge Moreira da Silva have butted heads over their vastly different visions for the future. During the conversation we also discuss our key takeaways from the Hamburg Sustainability Conference, including a new initiative that is designed to tackle debt, trade, climate finance, and multilateral reform to help reset the terms of global cooperation. To dig into these stories and others, Senior Reporter Adva Saldinger sits down with U.N. correspondent Colum Lynch and reporter Jesse Chase-Lubitz for the latest episode of our weekly podcast series. How can climate and nature investments move from ambition to action? In the sponsored segment of the episode, recorded live at Devex Impact House during London Climate Action Week, Kate Warren, Executive Editor and Executive Vice President at Devex, speaks with Waqas Batley, Senior Director, Conservation and Climate Finance Policy at The Nature Conservancy. Together, they explore how policy advocacy can help countries develop the plans, financial roadmaps, and regulatory systems needed to attract investment in nature and climate. The conversation looks at why nature should be understood as economic infrastructure, what finance ministries can do to send clearer signals to investors, and how approaches such as country platforms can help turn national climate and biodiversity priorities into investable pipelines. Sign up to Devex Invested: https://www.devex.com/newsletters/invested

Are you confusing a skyrocketing AI token bill with actual engineering value? This week on Dev Interrupted, Kraken's Engineering Operations Lead, Nik Sudan, joins the show to break down the harsh realities of moving agentic AI projects from pilot to production without compromising code health. He unpacks why raw AI adoption is a flawed vanity metric, detailing how his team uses tools like the LinearB MCP server to combine high-level engineering metrics with granular repository data to uncover hidden workflow bottlenecks. Finally, Nik reveals his exact playbook for translating complex data, like P90 cycle times, into a clear, business-driven narrative that secures vital buy-in from non-technical stakeholders. Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:LinearB MCP Server: Learn how to chat with your engineering data and uncover hidden bottlenecks at linearb.io/platform/mcp-serverThe APEX Framework: Read LinearB's guide on the operating model for AI-era engineering teams at linearb.io/resources/apex-frameworkKraken: Learn more at www.kraken.comWebsite / Follow Nik:niks.space OFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In a special edition of the This Week in Global Development podcast, Devex cofounder and Executive Vice President Alan Robbins sits down with Brazilian thoracic surgeon Dr. Ricardo Sales do Santos to discuss a revolutionary approach to tackling lung cancer in medically underserved communities in Brazil. As the most lethal form of cancer globally, lung cancer often goes undetected until its final stages, but Dr. Santos and the Bristol Myers Squibb Foundation are working to change that narrative through a combination of mobile technology and local capacity building. By bringing advanced CT scanning units directly into high-risk, low-income communities, they are catching tumors when they are small and potentially curable, fundamentally shifting the odds for thousands of patients. The conversation also touches on the logistical and cultural hurdles of delivering specialized oncology care to remote areas. Dr. Santos highlights the importance of “bringing the clinic to the patient,” utilizing mobile CT units and telemedicine to bridge the gap in healthcare access. Beyond the technology, the success of the program relies heavily on empowering local health workers and community members to recognize early cancer warning signs and overcome the stigma associated with a cancer diagnosis. This approach not only improves individual health outcomes but also strengthens the broader healthcare system, offering a scalable model for global health initiatives. To learn more about sustainable improvements in cancer care and get a compelling look at how local solutions can drive global change, listen to this special edition of This Week in Global Development. For more international development news, visit: http://www.devex.com Visit Strengthening Care Systems — a series raising awareness of the scale of the global lung cancer burden and the systems-level changes required to address it: https://pages.devex.com/strengtheningcaresystems.html

Is the golden age of exponential AI growth already flattening out? This week on the Friday Deploy, Ben and Andrew unpack Steve Yegge's "Flat Curve Society" theory to explore what happens when frontier models stop getting exponentially better. The hosts also dive into the evolution of loop-driven development, the value of markdown based local knowledge bases, and why comparing different AI models usually just exposes the flaws in your own prompts. Finally, they review Midjourney's bizarre new echolocation spa concept and explore the true limits of AI disruption through the hilarious allegory of "The Wizard with the Very Defensible Pond." Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:A New Era of MidjourneyThe Flat Curve SocietyFrom Test-Driven to Loop-Driven DevelopmentA failed universal language explains why you keep picking the wrong AI outputBuilding a Local Knowledge Base in Google's Open Knowledge Format (OKF)The Wizard With the Very Defensible PondOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Developers are like water: if you make your security protocols too difficult, they will find a way to flow right around them. This week on Dev Interrupted, bestselling author and OWASP Top 10 Project Leader Tanya Janca returns to unpack why vibe coding has officially made the list of the most critical security risks in software development. Tanya breaks down the psychology of bad code, explains why the modern software engineer has become the primary attack surface, and shares actionable strategies for shifting security left directly into your AI prompts. Finally, she provides practical, behavioral solutions for building a golden path that makes secure coding the easy choice for your engineering team. Register here: for the June 25th workshop, Life Beyond Tokenmaxxing, to learn how to measure real AI impact and ROI across the SDLC.Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:SheHacksPurple: Learn secure coding from Tanya at shehackspurple.caDevSec Station: Listen to Tanya's bite-sized security podcast for developers at devsecstation.comSecure My Vibe: Download Tanya's free AI secure coding prompt library at securemyvibe.ca The Psychology of Bad Code: Read Tanya's insightful blog series on behavioral economics and application security on the SheHacksPurple BlogOWASP Top 10: Learn more about the most critical security risks to web applications at owasp.orgTanya's Newsletter: Sign up for Tanya's newsletter at  newsletter.shehackspurple.ca  Connect with Tanya: LinkedIn | Twitter/XOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week on the Friday Deploy, Ben and Andrew unpack the sudden disappearance of Fable 5 and discuss whether Meta's aggressive pivot to AI data labeling is destroying its legendary engineering culture. The hosts also explore the rise of highly capable open source Chinese models like GLM 5.2 and why tech giants are considering them to slash skyrocketing inference bills. Finally, they dive into new research proving that as AI execution takes over, human domain expertise and strict production observability are more critical than ever. Register here: for the June 25th workshop, Life Beyond Tokenmaxxing, to learn how to measure real AI impact and ROI across the SDLC.Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:KayfableWhy is Meta destroying its engineering organization?AI demands more engineering discipline. Not lessZ.ai's open-weights GLM-5.2 beats GPT-5.5 on multiple long-horizon coding benchmarks for 1/6th the costMicrosoft Mulls China's DeepSeek for Copilot, Probably to Trump's ChagrinAgentic coding and persistent returns to expertiseOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What if the secret to fixing your overwhelmed SDLC is not a better AI coding model, but a smarter productivity context engine? This week on Dev Interrupted, LinearB founders Ori Keren and Dan Lines join the show to discuss the messy middle of AI adoption and the painful transition from the traditional SDLC to the Agentic Development Life Cycle. They unpack why the era of cheap AI experimentation is over, how rising token costs are forcing engineering leaders to prioritize strict business ROI, and how autonomous tools are fundamentally changing the daily workflow of developers.Register here: for the June 25th workshop, Life Beyond Tokenmaxxing, to learn how to measure real AI impact and ROI across the SDLC.Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:LinearB: Learn how to transform your SDLC and build an engineering context engine at linearb.iogitStream: Explore LinearB's workflow automation tool for routing pull requests at linearb.io/platform/gitstreamFollow Ori and Dan on LinkedIn: Ori Keren | Dan LinesOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Anthropic just dropped a dragon-class model on our laps, but can you steer it without torching your codebase in the process? This week on the Friday Deploy, Ben and Andrew unpack the sudden arrival of Fable 5 and how to leverage it to scrutinize your systems before the massive API paywall hits. They also take aim at the unsustainable trend of tokenmaxxing and explore how intelligent model routing can drastically cut your AI spend. Finally, they tackle the unmaintainable mess left behind by AI rockstar developers and share how they are orchestrating their own agent-to-agent collaboration.OFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In this episode of Elixir Wizards, Charles Suggs and Emma Whamond are joined by Ellyse Cedeno, founder of Heuristic Salvo and a software engineer and product leader with more than 25 years of experience across early internet platforms, gaming, health tech, and distributed systems. Ellyse shares the winding path that took her from early search engines and Netscape to game development, medical research at Mount Sinai, and eventually to Elixir. Along the way, she talks about staying curious over a long technical career, rediscovering joy through side projects, and why being willing to feel like a beginner again can be one of the most useful skills a developer can build. The conversation explores what it means to grow as an engineer in a world where AI tooling is becoming part of the everyday workflow. Ellyse makes the case that technical skill still matters, but the human parts of software development (like judgment, curiosity, communication, trust, and influence) are becoming increasingly important. We also talk about soft influence and how developers can create change inside organizations without relying on hard authority. Key Topics Discussed in this Episode: Ellyse's career path through early internet platforms, gaming, health tech, and distributed systems Moving from Netscape and search engines to medical research and software consulting Discovering Elixir through an interest in concurrent and distributed systems Why beginner's mindset still matters after decades in tech How neurodivergence, curiosity, and deep focus shape Ellyse's approach to programming Rediscovering joy in programming through side projects and experimentation Building an MMORPG game server in Elixir Exploring hardware, Nerves, and live theremin demos The role of passion projects in professional growth Protecting time for learning in productivity-focused environments Work-life balance differences between the U.S. and Europe How AI tools are changing expectations for modern developers Why AI does not replace judgment, taste, or technical understanding Understanding business needs instead of only focusing on technical preferences Introducing Elixir into a TypeScript-heavy organization Using Elixir microservices to solve specific technical problems What “soft influence” looks like in engineering teams Building trust through one-on-one conversations Knowing when influence is working and when it is not Negotiating technical decisions without turning them into power struggles The relationship between technical competence and interpersonal skill Managing imposter syndrome during pair programming and collaborative work Documentation as a visibility and ownership tool Community involvement, conference speaking, and finding your people Staying curious without burning out Why the human side of software development still matters Links Mentioned: https://en.wikipedia.org/wiki/Netscape Icahn School of Medicine at Mt. Sinai https://icahn.mssm.edu/ Evernote https://evernote.com/ Joplin https://joplinapp.org/ Book: Elixir in Action by Saša Jurić https://www.manning.com/books/elixir-in-action-third-edition Book: The Little LISPer https://www.scribd.com/doc/263131641/The-Little-Lisper Ellyse's Goatmire Talk https://goatmire.com/speaker/ellyse-cedeno Nerves https://nerves-project.org/ xHain Hack & Makespace in Berlin https://x-hain.de/en/ https://cursor.com/ Haskell Programming Language https://www.haskell.org/ Java Programming Language https://www.java.com/en/ Clojure Programming Language https://clojure.org/ Scheme Programming Language https://www.scheme.org/ TypeScript Programming Language https://www.typescriptlang.org/ Nostrum Library https://hexdocs.pm/nostrum/intro.html Gleam Programming Language https://gleam.run/ Book: Getting Past No by William Ury https://www.williamury.com/getting-past-no/ “The Gambler” by Kenny Rogers https://www.youtube.com/watch?v=7hx4gdlfamo Ted Talk: Do schools kill creativity? | Sir Ken Robinson https://youtu.be/iG9CE55wbtY Ellyse's Codeberg https://codeberg.org/ellyxir Ellyse's Game Server Repo https://codeberg.org/ellyxir/gameserver Goatmire Elixir & NervesConf 2026 https://www.goatmire.com/

What happens when you strip away decades of engineering abstractions and let AI navigate the wild west between your initial intent and the final outcome? This week on Dev Interrupted, Anush Elangovan, VP of AI Software at AMD, returns to unpack the rapid shift toward an agentic software development lifecycle. Anush introduces the concept of "Agentic IO," a workflow where engineers focus strictly on high-level goals while AI handles the complex implementation. The conversation also highlights the expanding productivity wingspan of modern developers, the power of local open source models, and why speed remains the ultimate competitive moat. Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight PlatformsFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:AMD ROCm: Learn more about AMD's open-source software stack for AI at rocm.docs.amd.com and on GitHub.AMD Advancing AI 2026: Register for AMD's flagship global AI event taking place July 22-23 in San Francisco at amd.com/advancing-ai.Follow Anush on LinkedIn: Anush Elangovan | AMD blogOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Much of Seth Berkley's career has been an attempt to answer the question: How do you get vaccines to people who aren't well-served by an inequitable global health system? When the COVID-19 outbreak exploded in early 2020, that question took on new urgency — along with a mind-spinning slew of political, economic, technological, and cultural complications. Berkley, then the CEO of Gavi, the Vaccine Alliance, had a pretty good idea what was coming. As early as February 2020 he was warning publicly that if researchers were successful in developing a COVID-19 vaccine, lower-income countries would struggle to access them. That is exactly what happened. It is also what led Berkley to help launch COVAX, the global initiative to deliver COVID-19 vaccines around the world. In the wake of the pandemic, the relationships between politics, society, and vaccines have only grown more fraught. One example: Secretary of Health and Human Services Secretary Robert F. Kennedy Jr. has personally intervened to block U.S. funding to Gavi. Berkley, a physician and infectious disease epidemiologist, joined Devex's Theory of Change podcast to discuss the lessons of the COVID-19 response, the long and complicated history of humanity's relationships with vaccines, the incredible potential of new technologies — and the deeply troubling risks that some of them pose. His new book is called “Fair Doses: An Insider's Story of the Pandemic and the Global Fight for Vaccine Equity.”

Jason Valentino is Head of Software Engineering Strategy at BNY, where he oversees developer tooling, DevEx, platform workflows, and software delivery governance across more than 8,000 engineers.In this session from DX Annual, Jason shares how BNY moved beyond AI coding assistants to rethink the entire software delivery lifecycle. He explains how his team identified bottlenecks across the SDLC, prioritized automation opportunities, and applied AI to planning, peer review, testing, change management, and compliance workflows.Jason also discusses what it takes to scale AI inside a highly regulated enterprise, including rewriting policies, partnering closely with risk and audit teams, and building a culture that encourages experimentation and rapid sharing of ideas.Where to find Jason Valentino:• LinkedIn: https://www.linkedin.com/in/jasonvalentinoIn this episode, we cover:(00:00) Intro (01:20) Early results from AI coding tools at BNY(04:08) The 3X stress test: What breaks if engineering throughput triples?(06:56) Three ways to apply AI across the SDLC: IDE and CLI tools(08:07) Using autonomous AI agents for repetitive engineering tasks(09:16) Embedding AI directly into SDLC workflows(12:27) Why leaders should encourage experimentation and “start saying yes”(15:00) Q&A: How platform and productivity teams are evolving to support AI(16:33) Q&A: Rewriting policies and controls for AI-assisted software delivery(17:52) Q&A: How AI is affecting software quality and test ownership(19:00) Q&A: What Jason is most proud of: Practical examples of AI across the SDLC(20:30) Q&A: How BNY handles duplicated work across AI initiatives(22:30) Q&A: How BNY uses AI to support regulatory and compliance work(23:30) Q&A: Automating code reviews and change tickets(25:55) Q&A: How increased AI-driven throughput is affecting on-call and reliability(27:11) Q&A: How BNY works with risk and audit partners to move quickly with AI(29:01) Q&A: How BNY scales successful AI use cases across the organization(30:42) Q&A: What Jason is most proud of after BNY's busiest year with AIReferenced:• AI-assisted engineering: Q4 impact report• Measuring AI code assistants and agents• Measuring developer productivity with the DX Core 4• Windsurf• Claude Code by Anthropic | AI Coding Agent, Terminal, IDE• Codex | AI Coding Agent

This week on the Friday Deploy, Ben and Andrew unpack the AI build-versus-buy debate, Microsoft's new independent foundation models, and the growing revolt of mathematicians against unsubstantiated AI-generated proofs. The hosts also explore Stanford's Socratic rulebook for AI coding assistants and discuss Kent Beck's warning that engineering teams need to build "trust factories" to counter the rapid chaos of AI-assisted development. Finally, they close with a defense of Linux primitives and why you should probably be using a systemd timer instead of the latest shiny AI tool. Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight PlatformsFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:The AI SaaSpocalypse is a mirageMathematicians warn of AI threats to profession as industry encroachesIntroducing MAI-Code-1-FlashAI Agent Guidelines for CS336 at StanfordTrust FactoryYou Don't Love systemd Timers EnoughOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, we unpack the latest on the Ebola outbreak in the Democratic Republic of Congo and Uganda. With no approved vaccines or treatments for the Bundibugyo species driving the spread, we dive into the race to develop a vaccine and the critical funding shortfalls standing in the way. While pledges have been made, much of that support has yet to reach those affected on the ground. We also discuss the congressional hearings on Trump's fiscal year 2027 foreign affairs budget request, which featured a debate on the Ebola crisis. With this being the first outbreak since the dismantling of USAID, we break down the United States' approach to the health emergency. To dig into these stories and others, Business Editor David Ainsworth sits down with Senior Reporters Sara Jerving and Michael Igoe for the latest episode of our weekly podcast series. Check out Devex's new podcast series Theory of Change: https://www.devex.com/focus/theory_of_change

This week, Andrew sits down with LinkedIn Distinguished Engineer Karthik Ramgopal to explore the reality of deploying agentic platforms across a massive organization. Karthik unpacks the mechanics of AI memory, spanning procedural and episodic structures, and explains how to build durable engineering primitives that actually last. Finally, the two discuss the enduring importance of system fundamentals and why LinkedIn is restructuring its internship program into AI-native pods to foster a new culture of two-way mentorship. Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight PlatformsFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Follow Karthik on LinkedIn: Karthik Ramgopal OFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Coefficient Giving, one of the world's largest effective-giving funders, is about to go even bigger. On the heels of its biggest funding year ever in 2025 — in which it channeled over $1 billion to highest-impact causes — the organization formerly known as Open Philanthropy and funded by Facebook cofounder Dustin Moskovitz and his wife Cari Tuna is eyeing annual growth upward of 50% and bringing on more staff to get it done. The person behind that vision is Alexander Berger, Coefficient Giving's cofounder and CEO. Berger is in charge of turning Facebook wealth — and, increasingly, funds from other donors — into as many lives saved and improved as possible. The organization is a major funder in global health and development, catastrophic risk, research and innovation, and even farm animal welfare. Last week, Coefficient Giving launched a new pooled fund to tackle Group A Streptococcus — an easily treated disease that is still responsible for nearly 700,000 deaths a year — a cause that reflects the organization's framework for tackling problems that are important, neglected, and tractable. In a rare, in-depth interview with Devex Senior Reporter Michael Igoe, Berger sheds light on Coefficient Giving's rapid growth plans, its strategy for choosing high-impact causes, the rise of artificial intelligence philanthropy, and his own approach to affecting change in an uncertain world. This is the first episode of Theory of Change, a new podcast series from Devex featuring candid interviews with leaders shaping the future of global development.

Are we officially entering the "Eternal Sloptember"? This week on the Friday Deploy, Ben and Andrew unpack the quiet rebellion against skyrocketing API costs as teams transition to fine-tuned local models. They also explore the changing physical architecture of AI data centers, the dangers of using autonomous tools as a crutch for broken workflows, and why spec-driven development is critical for keeping agentic code in check. Finally, the hosts share their latest personal agent experiments, from benchmarking open-source models on a local Mac Studio to taming an AI-generated second brain.Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight PlatformsFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Outsourcing plus LocalAI will soon become more economical vs Frontier labsAI Datacenters Were Built for GPUs. What Happens When You Remove the GPUs?"The AI Can Do It" Is Not an Excuse To Tolerate a MessThe Eternal SloptemberI'm tired of talking to AIIf you let AI do your writing, I will come to your house and kill youA Blast from the Past: SDD and the Illusion of Known ScopeAndrew's paper: Mise en Place for Agentic Coding: Deliberate Preparation as Context Engineering MethodologyOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

What if you stopped treating observability as a simple insurance policy and started viewing it as a profit center? This week, Andrew sits down with Honeycomb CEO Christine Yen to explore how observability, data science, and product development are colliding in the agentic era. Christine explains why production signals must become compiler inputs for autonomous agents and how MCP tools are democratizing telemetry for entire organizations. Finally, the two discuss Honeycomb's latest Innovation Week announcements and the exact strategy for reframing observability from basic risk mitigation into a clear revenue accelerant.Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight PlatformsFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Honeycomb Blog: Read deep dives on SLOs at honeycomb.io/blogHoneycomb Innovation Week: Explore the latest announcementsRequired Reading: Check out the book Observability Engineering by Charity Majors, Liz Fong-Jones, and George Miranda.HumanX Interview: A Codebase Is No Longer the Source of Truth"Production is a Compiler Input": Chad Fowler's take on the future of code generation. Follow Christine on LinkedInOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Andrew and Ben recap the biggest announcements from Google I/O, breaking down everything from the new Gemini Spark agent to Gemini 3.5 Flash. They also explore how leaders can distill their management style using AI, debate whether complex note-taking apps are a form of procrastination, and call on listeners to participate in a new vibe coding research study. Finally, Andrew shares his "Skills Olympics" methodology for stress-testing and managing his own personal fleet of AI agents. Learn why: LinearB is a Leader in the 2026 Gartner® Magic Quadrant™ for Developer Productivity Insight PlatformsFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:PollyReach: Give your agent a real number and voice to make calls.Google is launching its own version of OpenClawGoogle touts its tokenmaxxing and capex spending amid AI orgyVibe Coding Experience SurveyDistilling yourselfOpen-source alternative to ObsidianOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

With Google I/O 2026 underway this week, Andrew sits down with Matthew McCullough, VP of Android Development Experiences at Google, to talk about the AI evolution happening across the Android ecosystem. Matthew shares his insights on why developers are rapidly transitioning into agent orchestrators, why CLIs are cool again, and how tools like AI Studio have rolled out a massive welcome banner for anyone to actively participate in the creation process. Finally, the two explore the future of mobile user interfaces and how the latest Android 17 developments are stripping away legacy friction to seamlessly get users straight to the good part.OFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In a special edition of the This Week in Global Development podcast, Devex cofounder and Executive Vice President Alan Robbins sits down with Brazilian thoracic surgeon Dr. Ricardo Sales do Santos to discuss a revolutionary approach to tackling lung cancer in medically underserved communities in Brazil.   As the most lethal form of cancer globally, lung cancer often goes undetected until its final stages, but Dr. Santos and the Bristol Myers Squibb Foundation (are working to change that narrative through a combination of mobile technology and local capacity building. By bringing advanced CT scanning units directly into high-risk, low-income communities, they are catching tumors when they are small and potentially curable, fundamentally shifting the odds for thousands of patients.   The conversation also touches on the logistical and cultural hurdles of delivering specialized oncology care to remote areas. Dr. Santos highlights the importance of “bringing the clinic to the patient,” utilizing mobile CT units and telemedicine to bridge the gap in healthcare access. Beyond the technology, the success of the program relies heavily on empowering local health workers and community members to recognize early cancer warning signs and overcome the stigma associated with a cancer diagnosis. This approach not only improves individual health outcomes but also strengthens the broader healthcare system, offering a scalable model for global health initiatives.   To learn more about sustainable improvements in cancer care and get a compelling look at how local solutions can drive global change, listen to this special edition of This Week in Global Development. For more international development news, visit: http://www.devex.com Visit  Strengthening Care Systems — a series raising awareness of the scale of the global lung cancer burden and the systems-level changes required to address it: https://pages.devex.com/strengtheningcaresystems.html

Is vibe coding actually good now? This week on The Friday Deploy, Andrew and Ben explore the convergence of vibe coding and agentic engineering, unpack the decline of the traditional technical interview, and discuss why companies like Warp are prioritizing AI prototypes over planning meetings. They also celebrate Andrew's newly published research on "mise en place" context engineering. Finally, they break down the enterprise AI "last mile" crisis and share how they are using personal knowledge graphs to upskill their own agents.Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:AOL for agentsVibe coding and agentic engineering are getting closer than I'd likeMise en Place for Agentic Coding: Deliberate Preparation as Context Engineering MethodologyBuild, then alignThink the technical interview is dead? Think againThe last mile is where enterprise AI actually diesOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, we look ahead to the key talking points at the 79th World Health Assembly, where the Devex team will be reporting from next week. As the World Health Organization continues to operate on a deficit, and with the U.S. withdrawal from the agency, we dig into what the future holds for WHO and how this shifting financial landscape will reshape the global health architecture. With WHO facing funding constraints, we explore how this financial shortfall could impact the agency's response to the new hantavirus outbreak and its ongoing fight against HIV. During the episode, we also highlight the sessions we are most looking forward to at Devex Impact House, happening on the sidelines of WHA. Secure your spot by registering here: https://pages.devex.com/devex-at-wha-79.html To offer a preview of the 79th WHA, Senior Editor Rumbi Chakamba sits down with reporters Jenny Lei Ravelo and Andrew Green for the latest episode of our weekly podcast series. You can now also request an in-person invite or register for on-demand content for our upcoming Devex Impact House @ London Climate Action Week here: https://pages.devex.com/devex-at-london-climate-action-week.html

Does it feel like your favorite AI tool is declared dead one week, only to be resurrected the next? This week, Andrew sits down with Bryan Bischof, Head of AI at Theory Ventures, to explore the hidden levers of inference systems and the industry's obsession with prematurely writing off useful tools. Bryan shares his experiences with why prompt optimization is mostly a dead end, the secret to building high-performing data agents, and how his team builds operational software for VCs. The two also break down the origins of the satirical rip-grep.com and drop hints about Bryan's highly anticipated next AI game show experiment. AI Council 2026: Catch Bryan's track on inference systems and get tickets.Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Events: Catch Bryan's track live at the AI Council Conference.Writing: Check out the April Fools manifesto at rip-grep.comTheory Ventures: Learn more about the work happening at Theory Ventures.X/Twitter: @BEBischofLinkedIn: Bryan BischofOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Are you stuck in the "messy middle" of AI adoption where individual productivity doesn't actually translate to organizational impact? This week on the Friday Deploy, Andrew and Ben break down the hilarious and terrifying realities of agentic intention drift, exploring how a "goblin" invasion in ChatGPT and poorly scoped tokens are wreaking havoc on production environments. They also navigate this messy organizational adoption phase, discussing why senior developers are accelerating while juniors stall out on the K-shaped productivity curve. Finally, the hosts wrap up with a look at the open-source renaissance of agentic harnesses like Lattice and Pi.dev.Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Where the goblins came fromAI didn't delete your database, you didWhen everyone has AI and the company still learns nothingFragments: May 5Specsmaxxingclaude code is not making your product betterOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This week, we take you inside a Devex exclusive: the $60 million fiasco at the United Nations, a complex story with an equally complex set of characters, including Vitaly Vanshelboim, whose rise and fall left a black mark on a key U.N. agency. Once revered as a financial wizard, Vanshelboim was the man credited with pulling UNOPS back from the brink of bankruptcy. However, as our investigation reveals, behind the diplomatic prestige and profits lay a shadow world of secret side deals, luxury cars, and a $60 million trail of broken promises. Now, as the former U.N. assistant secretary-general faces a reckoning from a Spanish prison cell, we discuss the lingering question: For a system that prides itself on rigorous oversight, is this incident a one-off or emblematic of something deeper? To dig into this story and others, Senior Reporter Adva Saldinger sits down with Managing Editor Anna Gawel and Senior Global Reporter Colum Lynch for the latest episode of our weekly podcast series. Request an invitation to attend Devex Impact House @ WHA in Geneva: https://pages.devex.com/devex-at-wha-79.html

If you aren't the one educating your users on the fundamentals of AI, your competitors will happily do it for you. This week on Dev Interrupted, Andrew sits down with Philip Kiely, Head of AI Education at Baseten and author of Inference Engineering, to discuss why the secret to winning the AI market is owning the educational narrative through active market development. They explore the rise of the "Double-T" shaped engineer, the hidden complexities of scaling the inference stack, and why the most successful AI companies treat developer education as a mission-critical go-to-market motion.Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Baseten: Explore the inference platform where Philip serves as Head of AI Education.Inference Engineering: Download the free PDF or order a paper copy of Philip's comprehensive guide to the AI infrastructure stack.LinkedIn: Philip Kiely X/Twitter: @philipkiely Website: philipkiely.com OFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Are you at the top of your company's tokenmaxxing leaderboard yet? This week on the Friday Deploy, Andrew and Ben explore the controversial trend of "tokenmaxxing" sweeping through tech giants like Meta and Disney, as well as GitHub Copilot's shift to usage-based pricing that signals the end of the cheap AI era. The hosts also break down a terrifying incident where a rogue AI agent wiped out a production database and examine a new "vegan" language model trained exclusively on pre-1931 historical data. Finally, they react to a study revealing that 35% of all new websites are now AI-generated and close out the show with the drunk musings of a senior engineer. Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:An AI Agent Just Destroyed Our Production Data. It Confessed in Writing.Tokenmaxxing Is The Dumbest Metric In Tech Right NowIntroducing talkie: a 13B vintage language model from 1930Study Finds A Third of New Websites are AI-GeneratedFlipbook is an infinite visual browser generated entirely on demand in real time.Drunk Post: Things I've Learned as a Senior EngineerOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In an internal memo seen by Devex, the Trump administration has threatened to withhold hundreds of millions of dollars in funding to the United Nations unless it adopts a slate of nine “quick win” reforms. We break down the demands and what they reveal about the United States' new road map for multilateral engagement. We also received a recent congressional notification which reveals that USAID has up to $19.2 billion to close out terminated foreign assistance awards. We explore what that funding would be spent on. To discuss these stories and others, Devex Business Editor David Ainsworth speaks with reporters Colum Lynch and Elissa Miolene for the latest episode of our weekly podcast series. During the sponsored segment of the This Week in Global Development podcast, brought to you by The Fred Hollows Foundation, Devex Executive Vice President Kate Warren sits down with Dr. Caroline Casey, president of the International Agency for the Prevention of Blindness, to discuss why restoring sight is not just a health intervention, but a critical lever for unlocking women's economic participation, reducing unpaid care burdens, and accelerating progress on gender equality. Sign up to the Devex Newswire and our other newsletters: https://www.devex.com/account/newsletters

What if deploying a new capability to an industrial robot arm was as seamless as pushing an update to a web app? This week, Andrew sits down with Brian Gerkey, CTO of Intrinsic and a titan of the open-source robotics community, to discuss how modern AI is finally giving robotics the "brains" to handle the unpredictable physical world. Brian breaks down how to move away from rigid, monolithic automation toward software-defined, modular robotics using tools like ROS (Robot Operating System) and digital twins. Finally, Brian invites developers of all backgrounds to test their skills in Intrinsic's new AI for Industry Challenge by using AI to solve one of the hardest problems in manufacturing: plugging in a tangled cable. Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Brian's Website: Learn more about Brian's work, research, and history in the open-source robotics community. Intrinsic: Explore the robotics software company led by Brian, which provides tools like Flowstate to build and deploy intelligent robotic solutions.AI for Industry Challenge: Get the toolkit and register to compete in Intrinsic's new challenge to solve complex dexterous manipulation and cable routing.ROS (Robot Operating System): The open-source middleware suite that has become the global standard for robotics software development.OFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Is the era of cheap, unlimited AI tokens officially over? This week on the Friday Deploy, Andrew and Ben walk through the sudden wave of AI pricing chaos—from GitHub Copilot's panic-paused signups to Anthropic's confusing pricing tests—and break down the terrifying Vercel security breach caused by a single over-permissioned AI tool. They also examine 12 game-changing architecture patterns exposed in the Claude Code leak to help you safely orchestrate your own agentic workflows. Finally, they discuss how to avoid the lethal trifecta of agentic security risks before mourning the tragic deletion of their Claude Code buddies.Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Changes to GitHub Copilot Individual plansIs Claude Code going to cost $100/month? Probably not—it's all very confusingAnthropic, OpenAI, Google, and Microsoft agree that the harness is the product. They disagree on the price.12 Agentic Harness Patterns from Claude CodeVercel April 2026 security incidentFragments: April 21Claude Managed Agents: get to production 10x fasterOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Forget the massive GPU clusters. According to Tim Dettmers, research scientist at Ai2, you can build a state-of-the-art AI coding agent with what he calls a "hot plate and a frying pan." This week on Dev Interrupted, Andrew sits down with Tim to unpack how his resource-strapped team built the SERA model using a fraction of the compute power of major labs. They explore the tactical engineering behind synthesizing training data from private codebases without verification tests, proving that the open-source community is uniquely positioned to out-specialize frontier models. Finally, Tim shares his contrarian take on the future of token economics, explaining why the cost of AI might actually spike as compute efficiency hits a physical wall.OFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

This episode captures the energy of PowerShell Summit through two conversations, one with Gilbert Sanchez and one with Joshua Dearing. The discussion moves from open source maintenance and the future of PowerShell in AI workflows to the human side of technical communities, including burnout, neurodiversity, mentorship, and the value of showing up in person. It also highlights how PowerShell can change careers over time, not just by teaching syntax, but by opening doors to better communication, stronger community ties, and bigger technical thinking. Key Takeaways: · Community is often the unlock, not just the tooling. Both conversations reinforce that Summit's real value is the people, the hallway conversations, and the sense that learning gets easier when you have others around you who are willing to help. · Sustainable technical growth matters more than short bursts of output. Gilbert talks about burnout, open source maintenance, and creating healthier ways to contribute, while Andrew connects that to ADHD, mental health, and building a career that can last. · PowerShell is a starting point for much bigger opportunities. Joshua's story, from community member to module author, reflects a broader theme in the episode that small steps, taken consistently, can completely reshape what kind of work you can do and who you can become in the field. Guest Bio: Gilbert Sanchez is a Staff Software Development Engineer at Tesla, specifically working on PowerShell. Formerly known as "Señor Systems Engineer" at Meta. A loud advocate for DEI, DevEx, DevOps, and TDD. Resource Links: · PSake: https://psake.dev · Gilbert Sanchez links: https://links.gilbertsanchez.com · Gilbert Sanchez blog: https://gilbertsanchez.com Josh is a systems administrator with a philosophy degree and a helpdesk origin story. He's a speaker, open source contributor, creator of ModuleExplorer, and a PDQ Sysadmin Hall of Fame winner. He's a firm believer that the best script is the one you don't keep to yourself. · Joshua Dearing's website: https://dearing.dev The PowerShell Podcast on YouTube: https://youtu.be/XJAbZgOVMF4    

Have you or a loved one been afflicted by "brain fry" after managing too many autonomous agents? This week on the Friday Deploy, Andrew and Ben explore the cognitive toll of orchestrating AI swarms and share Kelly Vaughn's expert strategies for avoiding burnout. The hosts also discuss Google's new campaign to punish websites that hijack the back button, the breakthrough of running Gemma 4 natively on mobile devices, and a new 8-step maturity model for building agentic data pipelines. Finally, they dive into a heated debate over whether Obsidian flat-files are a scalable memory solution for AI, comparing the methodology to Andrej Karpathy's new agent-compiled wiki system.Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Introducing a new spam policy for "back button hijacking"Google Gemma 4 Runs Natively on iPhone With Full Offline AI InferenceWater Town: The Agent Swarm Data StackStop Calling It Memory: The Problem with Every "AI + Obsidian" TutorialThe Wiki That Writes ItselfBreaking out of the "brain fry" spiral of AIAfter Burnout by Kelly VaughnOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Against the backdrop of the World Bank and IMF Spring Meetings, Devex reporters Adva Saldinger, Michael Igoe, and Ayenat Mersie dissect the stories they've been hearing on the ground this week. That includes the latest OECD figures showing a staggering 25% drop in official development assistance, the ripple effects of the conflict in the Middle East, and a newfound focus on rebuilding public consensus. The discussion also looks at the World Bank's bold new “sector-first” strategy, highlighted by the launch of Water Forward — an ambitious initiative aiming to provide one billion people with access to clean water through country-led compacts. The return of African trade corridors enters the discussion as well, along with the International Monetary Fund's scramble for concessional funding. To dig into these stories, listen to this episode of This Week in Global Development.

Are your AI agents quietly ignoring their guardrails just to get the job done? This week on Dev Interrupted, Andrew sits down with Wayfound AI founder and CEO Tatyana Mamut to discuss why traditional, deterministic software testing falls completely short when evaluating stochastic AI models. They explore the growing strategic divide between OpenAI and Anthropic, the urgent need for independent "guardian agents," and what it takes to run a company with just 4 humans and 27 agents. Finally, they break down how to stop the chaotic game of telephone between engineers and business leaders by relying on "Deep-T" subject matter experts to evaluate what good AI output actually looks like.Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Wayfound AI: Secure your autonomous enterprise and align your AI workforce with an independent agent supervision platform.Moltbook: Explore the viral social network built exclusively for AI agents, where you can observe Tatyana's OpenClaw agent, Aphasia, in action.Anthropic's Agent Autonomy Research: Read Anthropic's report on how people actually use agents and why post-deployment monitoring is an absolute necessity.OpenClaw: Explore the viral, open-source personal AI assistant framework.Follow Tatyana Mamut on LinkedInOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Special Episode: Every Crisis is Political - Redefining Humanitarian Response by Devex

Is the secret to slashing your token costs by 65% forcing your LLM to speak like a caveman? This week on the Friday Deploy, Andrew and Ben test out a hilarious new Claude plugin that reduces AI output to primitive shorthand before diving into Anthropic's $100 million push to win the cybersecurity arms race with Project Glasswing. The hosts also unpack the sudden release of four game-changing open-source models—including Gemma 4 and Halo 3—and explain why modern AI benchmarks are proving that humans still have a cognitive edge. Finally, they wrap up by sharing how they deploy custom background agents to hack their way through expo floors at industry conferences.Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:Project GlasswingTool School: Benchmarking 101 (How To Read AI Model Report Cards)Four Open Models Just Proved You Can Own Frontier AI at Every ScaleJuliusBrussee/cavemanOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Are your AI coding tools actually making your team faster, or are they just creating downstream chaos? This week, Ben Lloyd Pearson and Dan Lines introduce APEX, LinearB's new engineering leadership framework built explicitly to measure and manage software delivery in the AI era. Moving beyond traditional frameworks like DORA and SPACE, APEX balances AI Leverage, Predictability, Efficiency, and Developer experience to ensure upstream code generation translates into actual business value. Tune in to learn how to break past the illusion of coding speed, prevent AI slop from clogging your review pipelines, and discover which pillar of the APEX framework your team needs to tackle first.Download the APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:LinearB APEX Framework: Explore the full operating model, visual breakdowns, and the guide to operationalizing the metrics.Workflow Automation: Learn about LinearB's gitStream (policy-as-code for PR automation) and WorkerB (developer bot for minimizing idle time).OFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Are advertisements not-so-secretly infiltrating your code reviews? This week on the Friday Deploy, Andrew and Ben break down the controversy over GitHub Copilot injecting promotional tips into pull requests and unpack the massive Anthropic code leak that exposed Claude Code's hidden features. The hosts also explore Shopify's strategy for cutting AI inference costs by 75x using smaller, self-hosted models. Finally, they discuss the game-changing Pretext rendering library, the cyclical hype of "dead" tech trends, and how agent-wielding "vibe maintainers" are rewriting the rules of open-source software.Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:GitHub backs down, kills Copilot pull-request ads after backlashSoftware's Next Epoch: Our Investment in R.I.P. grepAnthropic accidentally leaked Claude Code's entire source. Here's what 512,000 lines revealShopify Cuts Inference Cost by 75x Using Qwen 3 for Merchant Data ExtractionPretext Does What CSS Can't — Measuring Text Before the DOM Even ExistsVibe MaintainerOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Ned and Kyler discuss the state of platform engineering, DevEx, and how AI is affecting choices in those domains with guest Annem Shah. They discuss how AI can help bridge the gap between initial setup and continuous operations by providing feedback and interpreting complex error messages. They also break down how AI can assist in... Read more »

Ned and Kyler discuss the state of platform engineering, DevEx, and how AI is affecting choices in those domains with guest Annem Shah. They discuss how AI can help bridge the gap between initial setup and continuous operations by providing feedback and interpreting complex error messages. They also break down how AI can assist in... Read more »

AI agents have officially arrived on an internet that simply wasn't built for them. So how do we build the infrastructure to keep them safe, productive, and contained? This week, Andrew sits down with Matt Boyle, Head of Product, Design and Engineering at Ona (formerly Gitpod), to discuss evolving cloud development environments into secure, enterprise-grade "agent jails." They explore the mechanics of Project Veto's kernel-level security, the slow death of the traditional IDE, and how the rise of AI is transforming developers into full-stack, T-shaped product owners. Finally, Matt shares his vision for the future of the SDLC, detailing how organizations can safely balance strict compliance with the bleeding edge of autonomous software factories.Download the APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:Learn more about Ona (formerly Gitpod) and read their latest blog announcements, including Veto.Connect with Matt on LinkedIn | X (Twitter)OFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Read the guide: The APEX FrameworkFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's stories:OpenAI pulls the plug on Sora video app, Disney dealAuto mode for Claude CodeCoding After Coders: The End of Computer Programming as We Know ItMicrosoft's "Fix" for Windows 11: Flowers After the BeatingPOST: People, Operations, Strategy, TechnologyOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.