Podcasts about Software development

Luca and Jeff dive into how AI tools can supercharge embedded development workflows. Luca shares his extensive hands-on experience, while Jeff brings a fresh perspective as someone just starting to incorporate these tools. They explore how AI can help with coding, testing, and debugging - while emphasizing that good software engineering judgment remains crucial. The conversation is particularly timely since AI tools are evolving rapidly, unlike their usually more "evergreen" podcast topics.A key insight they discuss is that while AI tools offer amazing productivity boosts (much like IDEs did), they're not replacing experienced developers anytime soon. However, they raise interesting questions about the future job market for junior developers. Their take? Modern developers should absolutely embrace AI tools, but use them thoughtfully - especially when learning.Key Timestamps and Topics:00:00:00 - Welcome and episode overview00:00:43 - Why this topic won't age well (but that's okay!)00:02:20 - Breaking down different AI coding tools00:08:00 - Deep dive into aider and workflow integration00:20:02 - Using AI for testing and test-driven development00:27:00 - AI-assisted architecture work and its limitations00:30:40 - How AI helps explore unfamiliar codebases00:33:30 - Debugging with AI - pros and cons00:38:50 - What this means for development jobs00:43:59 - Using AI to learn new frameworks/languages00:46:15 - Embedded Online Conference preview You can find Jeff at https://jeffgable.com.You can find Luca at https://luca.engineer.Want to join the agile Embedded Slack? Click here

Today, we're joined by Hikari Senju, Founder and CEO at Omneky, the generative AI platform built for performance advertising. We talk about:Top 3 benefits of Gen AI in content marketingHow the market for digital ads is growing due to generative personalization & attribution capabilitiesAds taking on more of the sales functionThe need for thousands of variations of content to drive advertising results (& the dangers of serving the same ad repeatedly)Advertising to a world of digital users

Dan Uyemura, founder of the top-rated gym software company PushPress, joins Ryan Atkinson on The UpFlip Podcast to share his journey of building a successful SaaS business. As a former internet engineer and gym owner, Dan intimately understood the need for better software development in the fitness industry, leading him to create PushPress. This episode dives into the core challenges and triumphs of building a software company from the ground up.Learn about the surprising inspiration behind the company name, the long game strategy that drove  business growth, and the valuable lessons he learned about identifying market needs and building a Minimum Viable Product (MVP).Tune in to hear Dan's candid insights on scaling a software platform, the importance of listening to customer feedback, and his unwavering commitment to providing genuine value. Whether you're an aspiring entrepreneur or looking to refine your business strategy, this episode offers a practical look into the SaaS market.Takeaways:- Entrepreneurship often involves turning frustrations into opportunities, as Dan built PushPress to solve his own problems with gym software.- Customer service can be a significant differentiator, especially in the early stages of building a SaaS company.- Authenticity and a genuine love for your customer base are crucial for long-term success in niche markets.- Scaling a vertical SaaS business can be a slow and steady process, requiring patience and perseverance.- Your initial product might be more of a learning tool, and you need to be prepared to rebuild or significantly iterate as you understand customer needs better.- Listening to customer feedback and allowing it to guide product development (like PushPress Grow) can lead to significant revenue streams.- Having a strong conviction about your product and target audience can help you make strategic decisions, including when to say "no" to potential clients.- A holistic marketing approach, including SEO and paid advertising, becomes important for sustained growth.- Building a successful SaaS company requires a long-term perspective and the ability to weather numerous challenges.- Providing value to your customers should be the primary driver, with financial success being a result of that value creation.Tags:  SaaS, Tech Ventures, Software Development, Business Growth, Business FundingResources:Start Your Business Today: https://links.upflip.com/3ZJxGqn Connect with Dan : https://www.instagram.com/danielsan/?hl=en

Go 1.25rc1 releasedOpinion: Go should be more opinionated by Elton MinettoBlog: HTTP QUERY and Go by Kevin McDonaldInterview with Redowan DelowarBlog post: You probably don't need a DI frameworkBlogFx dependency injection framework for GoBlog: How I program with agents ★ Support this podcast on Patreon ★

BONUS: Never Stop Experimenting—Building a Culture of Continuous Discovery with Stavros Stavru In this BONUS episode, we dive deep into the world of continuous experimentation with Stavros Stavru, Ph.D. in Organizational Transformations and founder of EdTech ventures AhaPlay and The Caringers. Stavros shares insights from his latest book "Never Stop Experimenting" and reveals how teams can maintain their discovery mindset while balancing the pressures of delivery. The Exploration-Exploitation Dilemma "What would we choose? What we know, and try to exploit? Or go for something new, and better than we currently have?" Stavros introduces us to one of the fundamental challenges facing modern teams: the tension between exploration and exploitation. He explains how teams often start with an exploration mindset, focused on solving real problems through discovery. However, over time, there's a natural shift from discovery to delivery, and teams forget the importance of continued exploration. The title "Never Stop Experimenting" serves as an anchor for teams to remember the value of maintaining their experimental approach even when delivery pressures mount. Born from a Decade of Practice "All the techniques that I describe in the book were born during 10 years of practice." The book isn't theoretical - it's grounded in real-world application. Stavros shares how every technique and framework in "Never Stop Experimenting" emerged from his extensive hands-on experience working with teams over a decade. This practical foundation ensures that readers get battle-tested approaches rather than untested concepts. Software Development as Incremental Experiments "Experimentation requires a creative process." Stavros addresses a common challenge: while teams understand the benefits of experimentation and want to experiment, they often face management resistance that ultimately demotivates the team. He emphasizes that viewing software development as a series of incremental experiments isn't just beneficial - it's absolutely necessary for teams to remain innovative and responsive to changing needs. The Fatware Matrix: Putting Products on a Diet "The challenge: how do you convince the business that you need to spend some time removing features?" One of the book's standout concepts is "The Fatware Matrix," which helps Product Managers recognize when their product is becoming bloated. Stavros introduces a practical tool combining the Kano framework with maintenance cost analysis to illustrate the true cost and impact of maintaining old features. This approach helped one team successfully remove features from their software, with stakeholders later commenting, "Now this is more transparent for us." The key is managing feature creep and software bloat before they become overwhelming. The NSE Ratio: Optimizing Experimentation Rhythm "It's when we try something new that we learn what works. We need to change something on a regular basis." The NSE (Never Stop Experimenting) Ratio measures how long teams wait before introducing new approaches or experimenting with their processes. Stavros explains how teams should define their NSE ratio as part of their team agreements, establishing a regular cadence for trying new things. This systematic approach ensures that learning and adaptation become embedded in the team's rhythm rather than happening sporadically. Building a Safe-to-Fail Culture "Speak of your own failures. When we show our failures as leaders, we show the team that they can run their own experiments." Creating a truly safe-to-fail environment requires leaders to model vulnerability and transparency about their own mistakes. Stavros emphasizes that leaders must give the example by sharing their failures openly, which gives permission for the rest of the organization to take risks and learn from their own experiments. This leadership modeling is crucial for establishing psychological safety around experimentation. About Stavros Stavru Stavros is a Ph.D. in Organizational Transformations and a leading voice in Agile coaching, leadership, and soft skills. Founder of EdTech ventures AhaPlay and The Caringers, he has delivered over 800 trainings and authored Never Stop Experimenting, a powerful toolkit for continuous improvement across teams and organizations. You can connect with Stavros Stavru on LinkedIn, and check his book site at Neverstopexperimenting.com.

State management isn't one-size-fits-all. Jamon, Robin, and Mazen compare tools they've used on real projects, where trade-offs show up, and how their opinions have evolved.Connect With Us!Jamon Holmgren: @jamonholmgrenRobin Heinze: @robinheinzeMazen Chami: @mazenchamiReact Native Radio: @ReactNativeRdioThis episode is brought to you by Infinite Red!Infinite Red is an expert React Native consultancy located in the USA. With nearly a decade of React Native experience and deep roots in the React Native community (hosts of Chain React and the React Native Newsletter, core React Native contributors, creators of Ignite and Reactotron, and much, much more), Infinite Red is the best choice for helping you build and deploy your next React Native app.

Today on Elixir Wizards, hosts Sundi Myint and Charles Suggs catch up with Sean Moriarity, co-creator of the Nx project and author of Machine Learning in Elixir. Sean reflects on his transition from the military to a civilian job building large language models (LLMs) for software. He explains how the Elixir ML landscape has evolved since the rise of ChatGPT, shifting from building native model implementations toward orchestrating best-in-class tools. We discuss the pragmatics of adding ML to Elixir apps: when to start with out-of-the-box LLMs vs. rolling your own, how to hook into Python-based libraries, and how to tap Elixir's distributed computing for scalable workloads. Sean closes with advice for developers embarking on Elixir ML projects, from picking motivating use cases to experimenting with domain-specific languages for AI-driven workflows. Key topics discussed in this episode: The evolution of the Nx (Numerical Elixir) project and what's new with ML in Elixir Treating Elixir as an orchestration layer for external ML tools When to rely on off-the-shelf LLMs vs. custom models Strategies for integrating Elixir with Python-based ML libraries Leveraging Elixir's distributed computing strengths for ML tasks Starting ML projects with existing data considerations Synthetic data generation using large language models Exploring DSLs to streamline AI-powered business logic Balancing custom frameworks and service-based approaches in production Pragmatic advice for getting started with ML in Elixir Links mentioned: https://hexdocs.pm/nx/intro-to-nx.html https://pragprog.com/titles/smelixir/machine-learning-in-elixir/ https://magic.dev/ https://smartlogic.io/podcast/elixir-wizards/s10-e10-sean-moriarity-machine-learning-elixir/ Pragmatic Bookshelf: https://pragprog.com/ ONNX Runtime Bindings for Elixir: https://github.com/elixir-nx/ortex https://github.com/elixir-nx/bumblebee Silero Voice Activity Detector: https://github.com/snakers4/silero-vad Paulo Valente Graph Splitting Article: https://dockyard.com/blog/2024/11/06/2024/nx-sharding-update-part-1 Thomas Millar's Twitter https://x.com/thmsmlr https://github.com/thmsmlr/instructorex https://phoenix.new/ https://tidewave.ai/ https://en.wikipedia.org/wiki/BERT(language_model) Talk: PyTorch: Fast Differentiable Dynamic Graphs in Python (https://www.youtube.com/watch?v=am895oU6mmY) by Soumith Chintala https://hexdocs.pm/axon/Axon.html https://hexdocs.pm/exla/EXLA.html VLM (Vision Language Models Explained): https://huggingface.co/blog/vlms https://github.com/ggml-org/llama.cpp Vector Search in Elixir: https://github.com/elixir-nx/hnswlib https://www.amplified.ai/ Llama 4 https://mistral.ai/ Mistral Open-Source LLMs: https://mistral.ai/ https://github.com/openai/whisper Elixir Wizards Season 5: Adopting Elixir https://smartlogic.io/podcast/elixir-wizards/season-five https://docs.ray.io/en/latest/ray-overview/index.html https://hexdocs.pm/flame/FLAME.html https://firecracker-microvm.github.io/ https://fly.io/ https://kubernetes.io/ WireGuard VPNs https://www.wireguard.com/ https://hexdocs.pm/phoenixpubsub/Phoenix.PubSub.html https://www.manning.com/books/deep-learning-with-python Code BEAM 2025 Keynote: Designing LLM Native Systems - Sean Moriarity Ash Framework https://ash-hq.org/ Sean's Twitter: https://x.com/seanmoriarity Sean's Personal Blog: https://seanmoriarity.com/ Erlang Ecosystems Foundation Slack: https://erlef.org/slack-invite/erlef Elixir Forum https://elixirforum.com/ Sean's LinkedIn: https://www.linkedin.com/in/sean-m-ba231a149/ Special Guest: Sean Moriarity.

In this episode of Building Better Developers, hosts Rob Broadhead and Michael Meloche explore how to improve team collaboration in software development through the lens of AI-driven insights. Whether you're a solo developer, part of a tight-knit team, or scaling across departments, collaboration remains the backbone of efficiency and success. What Does Collaboration Mean in Development? AI kicked off the discussion with a powerful insight: define “efficiency” in context. But more importantly, it highlighted that collaboration fuels efficiency, not just working faster, but working better. Effective collaboration avoids: Redundant work Misunderstood requirements Tech debt and burnout Rob emphasized that a productive team isn't rushing through tasks but solving the correct problems—together—on the first try. Collaboration Strategies for Solo Developers Even solo developers need structured collaboration between their tools, their future selves, and their automation stack. Top collaboration tips for independent devs: Use opinionated frameworks like Next.js or Rails to minimize decision fatigue. Automate repetitive tasks early to save time in the long run. Commit code regularly with meaningful messages. Document workflows using Notion, Obsidian, or Jira—even if you're the only one using them. Containerize development environments for repeatability and rapid setup. “Solo doesn't mean siloed. Collaborate with your tools, your past decisions, and future goals.” Enhancing Collaboration in Small Development Teams For teams of 2–10 developers, Rob and Michael discussed how tight feedback loops and structured communication are essential to avoid chaos. Recommended practices for small team collaboration: Short, focused daily standups Shared development environments Lightweight Agile or Kanban boards Early investment in CI/CD pipelines Use of pair programming or mob programming for knowledge sharing Michael emphasized Agile's power in synchronizing team efforts, avoiding duplicated work, and solving problems more efficiently as a unit. “Agile helps teams collaborate—not just communicate. It keeps everyone moving in the same direction.” Solving Common Bottlenecks Together AI highlighted four universal collaboration pain points and solutions: Slow Code Reviews - Use SLAs and rotate reviewers Unclear Requirements - Kick off with 15-minute clarification huddles Testing Paralysis - Focus on integration tests and avoid overtesting Context Switching - Block dedicated focus hours Michael zeroed in on testing paralysis, especially in early-stage projects, where developers are too busy scaffolding to write tests. Without collaboration on testing plans, critical issues may be overlooked until it is too late. Rob addressed context switching, warning against excessive meetings that fragment developer flow. Leads should shield devs from distraction by delivering distilled, actionable feedback. Final Thoughts on Collaborative Development As teams grow, minor issues scale fast, and so do inefficiencies. Tools, meetings, workflows, and expectations must all scale intentionally. Rob reminded leaders to summarize and distill information before passing it to their teams and to make clever use of tools like AI, recordings, and summaries to keep everyone aligned without wasting time. “If you're building better developers, you're also building better collaborators.” Take Action: Build Collaboration Into Your Workflow Reassess your standups and review cycles Empower solo devs with documentation and CI/CD Streamline onboarding with containers Test early, test together Protect team focus time Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Embrace Feedback for Better Teams Using Offshore Teams and Resources – Interview With Tanika De Souza Moving To Mobile Teams and Building Them – Sebastian Schieke Building Better Developers With AI Podcast Videos – With Bonus Content

In this conversation, John Harcar interviews Jared Hart about the integration of AI in the mortgage industry. Jared shares his journey from being a loan officer to developing AI-powered tools that assist loan officers in managing their processes and engaging with clients. The discussion covers the challenges of software development, the importance of utilizing technology, and the common mistakes loan officers make. Jared emphasizes the significance of persistence and having a clear goal in business, while also highlighting the value of maintaining a robust database for client follow-up. Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true ‘white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a “mini-mastermind” with Mike and his private clients on an upcoming “Retreat”, either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas “Big H Ranch”? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

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Tracy Jin is the Chief Operating Officer at MEXC, a leading global cryptocurrency exchange. With over a decade of fintech experience, including executive roles at major firms like Bybit, she focuses on enhancing institutional-grade security, risk management, and trading efficiency in the crypto markets. Under her leadership, MEXC has evolved into a comprehensive platform, expanding its footprint in the DeFi space and advancing the adoption of stablecoins. Her visionary approach has propelled the company towards becoming a key player in the global crypto ecosystem. Jin holds a Master's degree in Software Development from Galway-Mayo Institute of Technology.In this conversation, we discuss:- Helping the greater crypto ecosystem- Tokenization of Real Assets- Why MEXC launched a $300M fund- Investors care less about FOMO and more about fundamentals- TON will become the first everyday blockchain by 2027 - Institutional funds are becoming more selective and investing less - The convergence of AI and crypto - On-chain crypto agents - The future of launchpads- Geographical patterns — where the most promising founders are coming from - Types of startups that attract the most interestMEXCWebsite: www.mexc.comX: @MEXC_Official Telegram: t.me/MEXC_Official_TGBotTracy JinX: @TracyMEXCLinkedIn: Tracy Jin--------------------------------------------------------------------------------- This episode is brought to you by PrimeXBT. PrimeXBT offers a robust trading system for both beginners and professional traders that demand highly reliable market data and performance. Traders of all experience levels can easily design and customize layouts and widgets to best fit their trading style. PrimeXBT is always offering innovative products and professional trading conditions to all customers.    PrimeXBT is running an exclusive promotion for listeners of the podcast. After making your first deposit, 50% of that first deposit will be credited to your account as a bonus that can be used as additional collateral to open positions. Code: CRYPTONEWS50 This promotion is available for a month after activation. Click the link below: PrimeXBT x CRYPTONEWS50

Senior Software Engineer Serhii Popov and Product Manager Pavlo Haidamak, both of MacPaw, offer an inside look at how CleanMyMac is built with user trust, transparency, and security at the forefront. They discuss how evolving regulations like GDPR and Apple's system restrictions have changed the way software is developed, tested, and updated. The conversation explores balancing user control with ease of use, why informed permission requests matter, and how user feedback directly shapes product improvements. With examples from their own workflows and challenges, they highlight what it means to build responsible software in an age of heightened privacy concerns.0:09 Introduction to MacPaw's Perspective (Part 1)  This edition of MacVoices is supported by Notion, the best AI tool for work. Check it out at notion.com/macvoices. Show Notes: Chapters: 01:49 Roles and Responsibilities at MacPaw 03:58 Evolving Demands in Software Development 04:50 Trust and Security in Software 09:36 Educating Customers on Data Privacy 13:21 Permission Requests and User Experience 17:17 Customer Experience with CleanMyMac 20:47 The Importance of User Feedback 32:31 Closing Thoughts on User Control Links: MacPaw Discord Server: https://discord.gg/eN4dX2RRkN Guests: Pavlo Haidamak is a Product Manager at MacPaw, currently leading the team behind CleanMyMac. With a background in Computer Science, Pavlo began his career as a QA engineer and has since managed acclaimed products such as Gemini 2, Setapp, and SpyBuster. As a CODA (Child of Deaf Adults), he is dedicated to driving innovation and making apps smarter and more accessible. Outside of technology, Pavlo is an avid painter and analogue photography enthusiast, with a particular love for Polaroid cameras. In his free time, he enjoys baking bread, vibe coding and spending time with his tiny chihuahua, Loretta. You can connect with him here: www.linkedin.com/in/haidamak Serhi Popovi is a Senior Software Engineer at MacPaw with more than 7 years of experience developing world-class multi-platform apps. An expert in Swift, Swift Multiplatform, MarketplaceKit, Accessibility and other technologies, he's worked on several projects like Setapp, Setapp software development kit, and Spark Email. As the engineering lead of Setapp Mobile, Serhii has lead his team to develop one of the first successful alternative marketplaces for iOS, all while contributing to the Apple developer community through conference presentations, advocacy, and education.You can connect with him here:  LinkedIn - linkedin.com/in/serg-i  X: x.com/zaris__  Website: bysergi.com Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

«Det at det er en team sport; det tror jeg er i hvert fall noe data verden kan lære av (software development). / The fact that it's a team sport; that's definitely something the data world can learn from software development.»Software development is ahead of the data world in many ways, but what can we learn from its methods? Audun Fauchald Strand, Director of Platform and Infrastructure at NAV, shares insights from building autonomous teams and balancing freedom with governance.Here are my key learnings:What is a platform?A platform is something you build on top of. Something that eases building applications, because if a common ground layer.A platform reduces the need for competency, since it predefines some choices.The capacity for change is higher when building based on a common platform, then when buying applications. It's important to find a balance in how much you should standardize through a platform and how much room for innovation should be beyond that.A platform can provide an «easy choice» that is the best practice way, but it should also allow for alternative, innovative ways to get jobs done.Software Development and DataSoftware development has been a role model for data work, but they are at different stages of maturity.What is happening now in data platform is something Audun has experiences in Software 10 years ago.Yet, the principles are largely the same.Data is not as mature as software. There is still something to understand when it comes to use of tools and open source, etc.«Verden har blitt god å lage software. /The world has become real good at making software.»There is a certain agreement on what good looks like in software.Software has embraced open source in a much larger degree then data.Data Mesh and the need for scaleData Mesh was a description if the data world from the perspective of a software developer.Change in architecture of operational environments have led to more possibilities to scale and to speed up operational data processing.This changes the need for speedy analytical data environments that have traditionally been built to compensated for the reduced flexibility of operational environments.Scaling up in a Data Mesh fashion, requires more data and analytical competency in teams.TeamsWorking in teams, and having team ownership of products creates a certain sustainability over time.In software, with open source utilization, only teams can take technological decisions. Who else could decide what library to use for what purpose, then the team working hands on?You have to believe in autonomous teams for them to work. If not you will create dependencies that minimize their authority as a team and thereby capabilities to deliver.To create alignment there are some steps to take, from communicating openly, creating a tech radar to ensure alignment between team, to describing deliberate choices, rather then general principles.5 learnings from article on alignment and autonomy:Insource data expertise to ensure ownership, security, and business alignment.Embed data professionals in cross-functional teams to enhance collaboration and generate actionable insights.Balance team autonomy with governance by allowing flexible tool use within standardized data policies.Foster continuous learning through asynchronous knowledge-sharing tools like wikis and Slack.Provide clear direction with self-service data platforms to support scalability, efficiency, and governance.

OverviewThis newsletter issue commemorates 20 years of TechCrunch, reflecting on its landmark influence in shaping the startup ecosystem and tech journalism since its launch in 2005. Beyond nostalgia, the content reveals key ongoing shifts in technology, venture capital, AI innovation, and market dynamics that continue to define the industry's present and future.Listeners will gain perspective on how TechCrunch grew from a simple Web 2.0 weblog to a foundational startup network hub, alongside insights into current critical trends such as AI's evolving role in venture capital and software development, Apple's design and AI strategy, evolving IPO markets, and debates around AI ethics. The combination of historical context and forward-looking analysis makes this a compelling episode for anyone interested in the tech industry's trajectory.Key Trend 1: The Enduring Influence and Evolution of TechCrunch as a Startup NetworkTechCrunch's founding vision was not only to report new Web 2.0 companies but to serve as a connective platform for entrepreneurs, investors, and innovators globally.It emerged as the definitive startup network akin to how Facebook shaped social networks, fundamentally influencing tech culture, funding, and ecosystem formation.Today, TechCrunch remains a vital resource, expanding its global footprint with strategic partnerships and deeper engagement in key startup hubs like Europe.Key Trend 2: AI's Growing Impact on Venture Capital, Software Development, and Industry StructureAI continues to reshape venture capital with strong focus on B2B operational tooling, platform/API-first startups, and developer-centric innovation.Large models and AI coding tools (e.g., vibe coding, integration in Xcode) signal a shift towards AI-assisted software creation workflows.However, challenges remain in reasoning capabilities of AI models, skeptical internal debates on AI safety, and ethical implications within leading tech firms.Strategic investments and valuation surges of AI companies, such as Anysphere's rapid growth and Meta's big bet on Scale AI, highlight intense competition for AI supremacy.Key Trend 3: The Resurgence of Public Markets and Shifting Investment Dynamics2025 has marked a reopening of the IPO window, especially favoring growth-stage B2B SaaS companies and innovative tech firms with strong fundamentals.High-profile IPOs like Circle and CoreWeave demonstrate renewed investor appetite, with smaller deals sometimes outperforming large ones.Secondary markets in venture capital are becoming primary liquidity sources, with record transaction volumes and large funds specializing in venture secondaries addressing liquidity constraints.AI and defense tech sectors continue attracting major funding rounds and valuations, underpinning strategic industry shifts.Apple's new “Liquid Glass” design language and UI changes blur lines between iPad and Mac, signaling acknowledgment of evolving user expectations.AI-driven interfaces are moving beyond traditional input methods to embrace natural language, voice commands, and conversational experience.Voice AI technologies, such as “Voice in a Box” and true speech-to-speech models that incorporate prosody and emotion, are poised to revolutionize both consumer and enterprise interfaces.The future of devices will increasingly be defined by AI assistance quality rather than hardware aesthetics, with “legacy” hardware becoming less relevant.Key Trend 5: Ethical, Social, and Political Implications of AI and Tech PlatformsMajor tech companies wrestle internally with AI safety, privacy risks, and ethical governance amid fierce innovation pressures.AI's societal impact carries dual potentials for utopia or dystopia, prompting calls for governance frameworks balancing innovation with responsibility.Social media platform changes, such as X's transformation and decentralized alternatives like Bluesky, reveal ongoing tensions in moderation, community cohesion, and political discourse.Criticism of Big Tech growth focus and user experience degradation shows persistent cultural dissatisfaction despite transformative potential.Discussion QuestionsHow has TechCrunch's role as a startup network reshaped the venture capital ecosystem compared to traditional tech media? What lessons does this hold for emerging platforms today?Given the dominance of B2B and automation-focused AI startups in YC's recent accelerator cohorts, what does this suggest about the future directions of AI entrepreneurship versus consumer applications?Apple is pushing hard on design and controlled AI integration, while Meta invests heavily in superintelligence labs—how do these divergent strategies reflect different visions of AI's role in society and technology?What are the implications of the IPO resurgence and growing secondary markets for startup founders, investors, and public market investors in the current economic cycle? Does this signal a sustainable tech market rebound or potential volatility?With ethical concerns rising within companies like Apple and voices like Vinod Khosla warning of AI's societal risks, what governance or regulatory frameworks should be prioritized to ensure safe and equitable AI development?How do changes in social media dynamics—such as the rise of decentralized platforms like Bluesky and the transformation of X under Musk—impact political communication and community building in the digital age?What does the evolution of voice AI and UI convergence (e.g., iPadOS blending with macOS, ‘vibe coding' tools) mean for how individuals will interact with technology in the near future? Could these trends reduce technical barriers or introduce new challenges?Closing SegmentTechCrunch's 20-year journey exemplifies the power of dedicated media to build ecosystems and influence innovation rhythms. As we stand on the threshold of AI-driven transformation, the themes resonate: human connection remains central even as machines advance; technology for good requires intention amid rapid change; and markets and devices evolve to meet new realities while grappling with legacy and complexity.Our final thought: The future will not be defined solely by the most advanced algorithms or sleekest designs, but by how well the industry balances innovation, ethics, human values, and global inclusion to craft a truly transformative technology landscape. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

Alex Gleason was one of the main architects behind Donald Trump's Truth Social. Now he focuses on the intersection of nostr, ai, and bitcoin. We dive deep into how he thinks about the future of nostr and vibe coding: using ai tools to rapidly prototype and ship apps with simple text based prompts.Alex on Nostr: https://primal.net/p/nprofile1qqsqgc0uhmxycvm5gwvn944c7yfxnnxm0nyh8tt62zhrvtd3xkj8fhggpt7fyStacks: https://getstacks.dev/EPISODE: 164BLOCK: 901101PRICE: 957 sats per dollar(00:00:02) Alex's Presentation at the Oslo Freedom Forum(00:01:31) Challenges and Opportunities in Decentralized Platforms(00:02:31) The Role of AI in Decentralized Social Media(00:05:00) Happy Bitcoin Friday(00:06:09) Guest Introduction: Alex Gleason(00:07:02) Truth Social(00:10:35) Challenges of Centralized vs Decentralized Platforms(00:14:01) Bridging Platforms(00:19:13) Limitations and Potential of Mastodon and Bluesky(00:24:08) The Future of AI and Vibe Coding(00:31:08) Empowering Developers with AI(00:38:09) The Impact of AI on Software Development(00:47:02) Building with Getstacks.dev(00:53:04) Impact of AI Models(01:02:01) Monetization and Future of AI Development(01:14:07) Open Source Development in an AI World(01:22:17) Data Preservation Using NostrVideo: https://primal.net/e/nevent1qqs96kxmxc7mufgt6n2rxpphg8ptyx2kl47a7rj389jrwmvjy6rhuhgmfel87support dispatch: https://citadeldispatch.com/donatenostr live chat: https://citadeldispatch.com/streamodell nostr account: https://primal.net/odelldispatch nostr account: https://primal.net/citadelyoutube: https://www.youtube.com/@CitadelDispatchpodcast: https://serve.podhome.fm/CitadelDispatchstream sats to the show: https://www.fountain.fm/rock the badge: https://citadeldispatch.com/shopjoin the chat: https://citadeldispatch.com/chatlearn more about me: https://odell.xyz

Saad Najmi from Microsoft joins Jamon, Robin, and Mazen to break down React Native macOS. They discuss how it works, where it's being used today, the challenges of maintaining cross-platform support, and why desktop might be the next frontier for React Native.Show NotesRN for Windows and Mac - MicrosoftReact Native Test AppChiara Mooney's Blog postConnect With Us!Guest: @SaadNajmiJamon Holmgren: @jamonholmgrenRobin Heinze: @robinheinzeMazen Chami: @mazenchamiReact Native Radio: @ReactNativeRdioThis episode is brought to you by Infinite Red!Infinite Red is an expert React Native consultancy located in the USA. With nearly a decade of React Native experience and deep roots in the React Native community (hosts of Chain React and the React Native Newsletter, core React Native contributors, creators of Ignite and Reactotron, and much, much more), Infinite Red is the best choice for helping you build and deploy your next React Native app.

This is the Engineering Culture Podcast, from the people behind InfoQ.com and the QCon conferences. In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Rachel Laycock, Global CTO of Thoughtworks, about how the company's Technology Radar process captures technology trends around the globe. She is sceptical of the current AI efficiency hype, emphasizing that the real value of generative AI tools lies in solving complex problems like legacy code comprehension rather than just writing code faster. Read a transcript of this interview: https://bit.ly/45Lnl0M Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: InfoQ Dev Summit Munich (October 15-16, 2025) Essential insights on critical software development priorities. https://devsummit.infoq.com/conference/munich2025 QCon San Francisco 2025 (November 17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ QCon AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: www.linkedin.com/company/infoq - Facebook: bit.ly/2jmlyG8 - Instagram: @infoqdotcom - Threads: - Youtube: www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

Taylor Otwell (@taylorotwell) didn't just create the popular open-source framework Laravel. He turned it into a highly profitable business that helps developers build profitable businesses themselves. Few other open-source devs have such a clear understanding of market needs AND developer requirements. Taylor shares his approach to monetizing freely available code, how he intentionally built an ecosystem of free and paid-for tooling, and where the Laravel journey will go.The blog post: https://thebootstrappedfounder.com/taylor-otwell-the-quite-entrepreneurial-creator-of-laravel/ The podcast episode: https://tbf.fm/episodes/394-taylor-otwell-the-quite-entrepreneurial-creator-of-laravelCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

In this episode of Gradient Dissent, Lukas Biewald sits down with Thomas Dohmke, CEO of GitHub, to talk about the future of software engineering in the age of AI. They discuss how GitHub Copilot was built, why agents are reshaping developer workflows, and what it takes to make tools that are not only powerful but also fun.Thomas shares his experience leading GitHub through its $7.5B acquisition by Microsoft, the unexpected ways it accelerated innovation, and why developer happiness is crucial to productivity. They explore what still makes human engineers irreplaceable and how the next generation of developers might grow up coding alongside AI.Follow Thomas Dohmke: https://www.linkedin.com/in/ashtom/Follow Weights & Biases:https://twitter.com/weights_biases https://www.linkedin.com/company/wandb

Today, we're joined by Todd Olson, co-founder and CEO of Pendo, the world's first software experience management platform. We talk about:Offloading work from employees to digital workersWhen most people will opt to chat with an AI agent over a humanThe need for SaaS apps to transform themselves into agentic appsAdvice for serial SaaS entrepreneurs, including a big cautionary tale for startupsAI-generated and AI-maintained code and the ease of prototyping

In this episode of SaaS Fuel, Jeff Mains is joined by cybersecurity expert and SafeStack CEO Laura Bell Main to reframe how SaaS founders think about security. It's not just compliance or a checklist—it's a cultural foundation for growth. Laura shares how security, when embedded early, accelerates deals, reduces friction in enterprise sales, and strengthens trust with customers before it's ever questioned.You'll learn how to shift developer mindsets, build security into your engineering culture, and avoid the costly mistake of treating security as someone else's job.Whether you're a bootstrapped founder or VC-backed startup, this is the episode that helps futureproof your SaaS—without killing your velocity.Key Takeaways00:00 – Intro: Hiring challenges in a capital-efficient SaaS world01:47 – Why security isn't a feature—it's the foundation02:16 – Creating a dev culture where security is second nature04:00 – Guest intro: Laura Bell Main of SafeStack05:04 – Laura's cybersecurity journey and founding SafeStack08:01 – Security as culture, not compliance10:50 – Scaling to 84 countries with no ad spend13:03 – From side project to global venture14:52 – Early founder mistakes and big lessons17:06 – Culture of learning: “What I Learned Today”18:46 – Scaling support for SaaS founders20:00 – Filtering the noise and trusting your next step22:35 – Cross-cultural founder lessons25:17 – Internal culture: Balancing trust, safety, and innovation29:13 – Designing security education that actually works33:15 – Getting entire engineering teams involved36:10 – The risk of delaying security in SaaS38:28 – Accelerating enterprise sales with securityTweetable Quotes“Security isn't a task—it's a culture.” — Laura Bell Main“Most SaaS founders wait until it's too late to think about security.” — Jeff Mains“Embedding security early isn't a slowdown—it's an accelerant.” — Laura Bell Main“The cost of a bad hire is nothing compared to the cost of a poor culture.” — Jeff Mains“If 150 developers is your threshold for hiring a security person, you've waited too long.” — Laura Bell Main“Scaling a SaaS company requires fewer hacks and more habits.” — Jeff MainsSaaS Leadership LessonsSecurity Is a Culture, Not a CheckboxMaking security part of your team's DNA creates long-term growth, not short-term friction.Hire Based on Pain, Not HopeScaling prematurely can be just as dangerous as hiring too late.Start Security Early—Not After the First Enterprise DealFounders who embed security from the start build trust faster and shorten the sales cycle.Teach Security as Behavior, Not Just TheorySafeStack succeeds by focusing on culture change, not technical checklists.Global Growth Without Ads Is PossibleIf your mission is clear and execution solid, early adopters will spread the word.Your Culture Is the Greatest Risk or AssetCreate an environment where learning is daily, mistakes are shared, and trust is built top-downGuest ResourcesEmail - laura@safestack.ioWebsite - https://safestack.io/Linkedin - https://www.linkedin.com/in/laurabellmain/Episode...

In this episode, we are going to delve into the world of Data-Driven Design or D3 as it's known.And to help us traverse this brave new world of design, we're talking with, Jeremy Graham from HDR. With over a decade of experience, HDR's Computational Design Director, Jeremy Graham is recognised for his expertise in computational design and software development, significantly impacting the built environment through innovative solutions for integrating data and information into the design process.Based in Melbourne, Australia, Jeremy Graham leads the development of advanced technologies that harness artificial intelligence and machine learning to enhance the architectural design process.His design career spans multiple sectors, including sports, education, and health, where he has implemented bespoke generative solutions for data-driven design.Notable projects in his portfolio include Queensland Country Bank Stadium, Optus Stadium, Marvel Stadium, and Al Janoub Stadium.

In this special episode of Teaching Python, hosts Sean Tibor and Kelly Schuster-Paredes convene an open space discussion at PyCon US 2025 in Pittsburgh. Surrounded by a diverse group of educators, developers, and learners, they hand the mic to the community to answer two key questions: How are you using AI personally, and how do you see AI shaping education? Listeners will hear firsthand accounts from university lecturers, high school teachers, industry professionals, and volunteer mentors. Topics include the impact of AI tools on coding productivity, the challenges of assessing genuine learning in an AI-rich environment, and strategies for teaching critical thinking alongside technical skills. The episode also delves into the tension between embracing AI as an educational aid and ensuring students develop foundational problem-solving abilities. Whether you're an educator, developer, or simply curious about the future of learning, this episode offers a nuanced, multi-perspective look at AI's growing influence in the classroom and beyond.

Go 1.24.4 and 1.23.10 releasedCommit 4d1c255: net/http: strip sensitive proxy headers from redirect requests

In this episode of TECHtonic, host Thomas Lah is joined by Jeremy DelleTezze, TSIA's Senior Vice President of Software Development and Analytics, for a grounded and insightful conversation about deploying AI inside a real enterprise. Lah and DelleTezze discuss the practical challenges TSIA has faced firsthand—deciding whether to build or buy AI capabilities, navigating the myth of the all-powerful AI agent, addressing cultural resistance, and ensuring secure, well-defined data integration. This is not a story of hype, but of hard choices, real trade-offs, and lessons learned on the front lines.Listeners will gain actionable takeaways on how to keep AI efforts focused through clearly scoped use cases, avoid complexity with targeted agents, and fine-tune models for high-value outcomes. DelleTezze also shares how existing teams—with the right mindset—can drive powerful AI transformation without the need of an entirely new skillset. Whether you're early in your AI journey or refining your current approach, this episode delivers clarity, strategy, and inspiration.

Julián Duque from Heroku joins me to explain and demo their new AI platform.Check out the video podcast version here https://youtu.be/BGqlLZHdRDsCreators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Julián Duque - Guest You can also support my content by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com (00:00) - Introduction (05:12) - Deep Dive into Heroku's AI Capabilities (14:23) - Heroku MCP server (28:27) - Describing MCP Tool Interactions (30:48) - DevOps Automation with Heroku MCP server (37:02) - Heroku AI and Future Prospects

AGIS Software Development LLC v. Stewart

with @aeyakovenko @alive_ethToday's episode features Solana cofounder Anatoly Yakovenko in conversation with a16z General Partner Ali Yahya, recorded live at our CSX Crypto Startup Accelerator program earlier this year.Anatoly shares the origin story of Solana — from a late-night eureka moment to thousands of investor meetings and several near-death startup experiences. He talks about what it took to get the network off the ground, how his engineering background at Qualcomm shaped its design, and why a need for speed gave Solana its edge.They also get into developer culture, engineering trade-offs, and what differentiates Solana's approach to building — including its willingness to ship, iterate, and rethink everything: including, most recently, its consensus algorithm.Timestamps:(0:00) Introduction(2:54) Early Career and Move to SF(3:57) Discovering Crypto and Solana's Beginnings(8:28) Challenges and Fundraising(12:12) Building Solana and Overcoming Obstacles(13:41) Solana's Vision and Market Strategy(17:23) Navigating Crises and Team Resilience(22:37) Solana's Unique Approach and Future Plans(24:57) Solana's Unique Approach to Software Development(26:35) Redesigning Solana: Lessons Learned(30:22) The Importance of Hackathons and Community(32:32) Technical Choices and Implications(34:16) Prioritizing User Experience Over Developer Comfort(36:40) Competitive Landscape of Layer 1 Chains(38:49) Building a Loyal Developer Community(42:36) Future of Blockchains and Solana's Vision(47:29) Long-Term View and GoalsAs a reminder, none of the content should be taken as investment, business, legal, or tax advice; please see a16z.com/disclosures for more important information, including a link to a list of our investments.

Launching our new Podcast: https://agenticdevops.fmBret and Nirmal are at KubeCon London and record their ideas about how AI Agents will change DevOps, platform engineering, SRE, automation, troubleshooting, and more.Creators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Nirmal Mehta - Host You can also support my content by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com

SHOW NOTESGuest: Andrew AmannWebsite: ninetwothree.coLinkedIn: Andrew AmannX/Twitter: @andrewamannKey topics:Andrew's pivot from mechanical engineering to AI and software development Early experiments with digital transformation, including VBA-coded automations Founding 923 Studio and delivering 150+ innovative AI and ML products Ideal clients: established brands with innovation labs and funded startups How Andrew and his team win business through SEO, conferences, and LinkedIn outreach Stabilization and growth goals for 923 Studio in 2025 How AI can be implemented in enterprise businesses, starting with a knowledge base Balancing business growth with a holistic lifestyle for employees Andrew's best advice: become an apprentice, learn from both good and bad bosses The 923 Studio name: inspired by their early days working 9 PM to 3 AM Tips for building AI solutions that truly solve real-world problems Key Questions(01:19) Can you tell us a bit about how you ended up where you are today?(03:15) Who would be your ideal client these days?(04:03) How do you get in front of these people?(04:35) Do you have repeat customers?(05:55) What are some big goals that you'd like to achieve in the next year?(06:45) Do you use AI within your business?(08:07) So your goals that you have, how would that affect your business?(08:55) What do you feel is the number one roadblock from you guys getting there?.(09:20) Can you talk a little bit about successful AI transformation in enterprise companies?(11:33) Do you have any tips or anything about how to build AI solutions that will solve our real problems like you were talking about?(12:55) How about running a holistic agency that uses profit to enhance the lifestyle of all employees?(13:49) What is the best piece of advice that you've ever received?(15:13) How did you come up with the business name?(15:54) What's the best advice you have ever given?(17:54) Is there anything else that you would like to touch on?(18:02)  Where can we go to learn more about you and what you're doing?Andrew Amannwww.ninetwothree.coAndrew Amann | LinkedInx.com/andrewamannVirginia PurnellFunnel & Visibility SpecialistDistinct Digital Marketing(833) 762-5336virginia@distinctdigitalmarketing.comwww.distinctdigitalmarketing.comwww.distinctdigitalmarketing.co

In this special episode from TED Tech, hear from GitHub CEO Thomas Dohmke on how AI is breaking the barrier to entry for coding. Who could a coder look like if you could code just by talking out loud? Learn how, thanks to AI, creating software is becoming as simple (and joyful) as building LEGO. In a live demo, he introduces Copilot Workspace: an AI assistant that helps you create code when you speak to it, in any language.Timestamps:(0:00) Introduction(0:28) Personal Journey into Coding(2:31) The Evolution of Programming Languages(4:02) The Birth of GitHub Copilot(6:14) Live Demo: Building with Copilot(9:58) The Future of Software Development(13:04) Q&A: The Role of Humans in AI-Driven Development(14:32) ConclusionAbout TED Tech:From the construction of virtual realities to the internet of things — technology is changing our world every day. But how can we make sure that the quickly-evolving role that tech plays in our lives is one that builds, empowers, and connects us? Host Sherrell Dorsey guides you through the latest ideas from TED Speakers, uncovering the riveting questions that sit at the intersection of technology, society, science, design, business, and innovation. Listen in every Friday.As a reminder, none of the content should be taken as investment, business, legal, or tax advice. Please see a16z.com/disclosures for more important information, including a link to a list of our investments. 

BONUS: Martti Kuldma shares how to transform century-old organizations through product-driven agile transformation In this BONUS episode we explore the remarkable transformation journey at Omniva with CEO Martti Kuldma. From traditional postal services to innovative logistics solutions, we explore how a 100+ year old company embraced product thinking, DevOps practices, and agile transformation to become a competitive force in modern logistics. Omniva's Digital Evolution—IT as a Revenue Center "We innovated the parcel machine business for a few years, and software has been an area of investment for us - software as a separate vertical in our business." Omniva represents a fascinating case study in organizational transformation. While many know it as Estonia's post office, the company has evolved into an international logistics powerhouse with significant revenue streams beyond traditional postal services. Under Martti's leadership, the organization has reimagined software not as a support function but as a core revenue driver, positioning itself for the dramatic shifts expected in logistics delivery over the next five years. The Vision: Physical Mailing as the Next IP Network "The Vision: physical mailing as the next IP network - this will give us a lot more freedom to adapt to changes in delivery demand." Martti's strategic vision extends far beyond conventional logistics thinking. By conceptualizing physical delivery networks similar to internet protocols, Omniva is preparing for a future where logistics companies leverage their physical infrastructure advantages. This approach addresses the fundamental challenge of fluctuating demand in e-commerce and traditional logistics, creating opportunities for crowd delivery solutions and gig economy integration that capitalize on existing network effects. Breaking Down Waterfall Barriers "When I came we had waterfall processes - annual budgeting, procurement for software development. It took a couple of weeks to do the first rounds, and understand what could be improved." The transformation from traditional procurement-based software development to agile product teams required dismantling entrenched processes. Martti discovered that the contractor model, while seemingly cost-effective, created expensive knowledge transfer cycles and left the organization vulnerable when external teams departed. His engineering background enabled him to recruit talent and build sustainable development capabilities that keep critical knowledge within the organization. Creating Cross-Functional Product Teams "We started to create cross-functional product area teams. We are not going to tell you what you need to build. You are accountable for the logistics efficiency." The shift from eleven distinct roles in software development to autonomous product teams represents more than organizational restructuring. By empowering teams with accountability for business outcomes rather than just deliverables, Omniva transformed how work gets planned and executed. This approach eliminates traditional handoffs and role silos, creating teams that own both the problem and the solution. The Product Manager Evolution "For me, the PM is directly accountable for the business results. The final step of the transformation started when I took the CEO role." Martti identifies a critical challenge in agile transformations: the misunderstanding of Product Manager responsibilities. Rather than falling into delivery or project management patterns, effective PMs at Omniva own business results directly. This shift required company-wide transformation because technical changes alone cannot sustain organizational evolution without corresponding changes in mindset and accountability structures. Leadership Through Storytelling "My main tool is just talking. All I do is story-telling internally and externally. I needed to become the best salesman in the company." The transition from technical leadership to CEO revealed that transformation leadership requires different skills than technical management. Martti discovered that his primary value comes through narrative construction and communication rather than direct technical contribution. This realization highlights how senior leaders must evolve their impact methods as organizations scale and transform. Real-Time Feedback Philosophy "The feedback needs to be given immediately. ‘Last year, in May your performance was not the best' - this is completely useless feedback." Martti's rejection of annual reviews stems from practical experience with feedback effectiveness. Immediate, personal feedback creates learning opportunities and course corrections that annual cycles cannot provide. Anonymous 360 feedback systems often dilute accountability and actionability, whereas direct, timely conversations enable meaningful professional development and relationship building. Essential Transformation Practices "You need to tell the story - and convince people that this transformation is essential and needed. You need to trust and let them make their own decisions." Drawing from experiences at both Pipedrive and Omniva, Martti identifies three critical elements for leading complex organizational change: Compelling narrative: People need to understand why transformation is necessary and how it benefits both the organization and their individual growth Distributed decision-making: Trust enables teams to solve problems creatively rather than waiting for hierarchical approval Business accountability for engineers: When technical teams understand and own business outcomes, they innovate more effectively toward meaningful goals The dynamic team formation model used at Pipedrive, where engineers and PMs pitched ideas and assembled mission-focused teams, demonstrates how organizational structure can enable rather than constrain innovation. About Martti Kuldma Martti Kuldma is CEO of Omniva, leading its transformation into a product-driven logistics company. A former engineering leader at Pipedrive and CTO at Omniva, he brings deep expertise in scaling teams, agile transformation, and digital innovation. Martti is also a startup founder and passionate advocate for high-impact product organizations. You can link with Martti Kuldma on LinkedIn.

This episode was sponsored by Elastic! Elastic is the company behind Elasticsearch, they help teams find, analyze, and act on their data in real-time through their Search, Observability, and Security solutions. Thanks Elastic! This episode was recorded at Elastic's offices in San Francisco during a meetup.Find info about the show, past episodes including transcripts, our swag store, Patreon link, and more at https://cupogo.dev/.

Is software development still a good career to get into in 2025? Is AI going to replace developers? Should I find a different career rather than trying to be a developer? These are the questions we will answer in today's episode of Dev Questions.Website: https://www.iamtimcorey.com/ Ask Your Question: https://suggestions.iamtimcorey.com/ Sign Up to Get More Great Developer Content in Your Inbox: https://signup.iamtimcorey.com/

Thomas Dohmke, CEO of GitHub, joins Azeem to explore how AI is fundamentally transforming software development. In this episode you'll hear: (01:50) What's left for developers in the age of AI? (04:54) How GitHub Copilot unlocks flow state (07:09) Three big shifts in how engineers work today (10:47) Is software development art or assembly line? (15:26) Why developers are climbing the abstraction ladder (19:35) Have we already lost control of the code? (23:15) What it's actually like to work with AI coding agents (39:35) Welcome to the age of ultra-personalized software(45:37) Building the next-generation web Thomas's links:GitHub: https://github.com/LinkedIn: https://www.linkedin.com/in/ashtom/Twitter/X: https://x.com/ashtomAzeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azharTwitter/X: https://x.com/azeemOur new show This was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through Exponential View on Substack. Produced by supermix.io and EPIIPLUS1 Ltd

Episode 60: Can you really build an $8 billion SaaS startup by yourself using AI agents? Nathan Lands (https://x.com/NathanLands) sits down with Matan Grinberg (https://x.com/matansf), a physicist, AI founder, and creator of Factory AI—one of Silicon Valley's best-kept secrets. Matan has published papers alongside luminaries and built a company trusted by top VCs and tech insiders. In this episode, Nathan and Matan dive deep into the power and practicality of Factory AI—an agentic software platform that allows anyone to build full-featured SaaS applications using only natural language. After years of focusing on large enterprise clients and remaining under the radar, Factory AI is now opening up to everyone and revealing what's possible when state-of-the-art “droids” (purpose-built AI agents) collaborate to automate the entire software development lifecycle. Watch them attempt to build a DocuSign competitor in minutes live on the show, and explore how AI is changing the future of engineering, entrepreneurship, and creative problem-solving. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Enterprise-Focused Product Expansion (05:45) Engineering Task Automation Tools (07:01) Quick Project Setup Outline (10:43) AI Revolutionizing Software Development (14:29) Customer-Centric Problem Solving (18:10) Progress Through Efficiency Improvements (19:22) Agency: The New Success Metric (24:54) Expanding Product to Small Teams (25:38) Unified Platform for Software Development (30:44) Importance of Foundational Knowledge (33:55) Technology: Rise, Apex, and Decline (35:40) Future Technology Beyond Smartphones — Mentions: Want the ultimate guide to use Gemini's game-changing features? Get it here: https://clickhubspot.com/wdn Promo link for 14 day free trial w 10M extra free tokens: LINK Matt Grinberg: https://www.linkedin.com/in/matan-grinberg/ Factory: https://www.factory.ai/ Docusign: https://www.docusign.com/ Shaun Maguire: https://x.com/shaunmmaguire Sequoia: https://www.sequoiacap.com/ Datadog: https://www.datadoghq.com/ Sentry: https://sentry.io/ Perplexity: https://www.perplexity.ai/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

We're talking about either the terrifying or totally mundane new world of "vibe coding" - using AI to generate code without deep technical expertise. Joining Product Manager Brian Orlando and Enterprise Business Agility Coach Om Patel for this podcast, we're happy to welcome back to the podcast Lenar Mukhamadiev, CEO of iDelsoft (https://idelsoft.com)!Listen as we discuss how this trend is changing product development, software engineering careers, and business innovation. Stick around while we argue over resistance, how vibe coding enables faster market testing and many more points, including:Accelerating time-to-market for new ideasEvolving role of professional developersUnderstanding business problems is more valuable than codingEmergence of "product engineers," or notA future where everyone is a software creator#AIinTech #ProductDevelopment #FutureOfWork= = = = = = = = = = = =YouTubeSubscribe on YouTubeAppleSpotify= = = = = = = = = = = =Toronto Is My Beat (Music Sample)By Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)

Claude Opus 4 Dominates AI Coding, TELUS Invests Big in AI, Meta's Workforce Optimizations, and SpaceX's Solar Woes In this episode, Jim Love discusses how Claude Opus 4.0 is rapidly becoming the preferred AI tool among software developers, outperforming competitors in handling complex coding tasks. Canada's TELUS announces a substantial $70 billion investment in network infrastructure and AI over the next five years. Meanwhile, Meta is quietly implementing tighter performance reviews, potentially leading to more job cuts. Additionally, SpaceX's Starlink satellites are facing increased challenges from solar activity, causing service disruptions and satellite losses. 00:00 Introduction and Overview 00:27 Claude 4.0: The New AI Leader in Software Development 04:05 TELUS's Massive Investment in AI and Network Infrastructure 06:44 Meta's Workforce Optimization and Industry Trends 11:48 SpaceX Satellites and Solar Activity Challenges 12:59 Conclusion and Contact Information

Join us, while we're Waiting For Review, This week we talk about: Daniel sponsors a small podcast via Patreon Daniel's deep dive into Druid performance

At KubeCon EU 2025 in London, Nirmal and I discussed the important (and not-so-important) things you might have missed. There's also a video version of this show on YouTube.Creators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host Nirmal Mehta - Host (00:00) - DDT Audio Podcast Edited (00:04) - Intro (01:24) - KubeCon 2025 EU Overview (03:24) - Platform Engineering and AI Trends (07:03) - AI and Machine Learning in Kubernetes (15:38) - Project Pavilions at KubeCon (17:05) - FinOps and Cost Optimization (20:39) - HAProxy and AI Gateways (24:00) - Proxy Intelligence and Network Layer Optimization (26:52) - Developer Experience and Organizational Challenges (29:23) - Platform Engineering and Cognitive Load (35:54) - End of Life for CNCF Projects You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com

Go gets auditedBlog: Go Cryptography Security Audit by Roland Shoemaker and Filippo ValsordaDeeper dive into FIPS in Episode 89 with Alex Scheel✋ Proposal declined: x/exp/xiter: new package with iterator adapters⛺ Gophercamp video: Your code deserves better: give it a linter by Gabriel Augendre

Cedric van Putten from Expo joins Jamon, Robin, and Mazen to talk about Expo Atlas—a tool for visualizing Metro bundles, spotting bloat, and understanding what your app is really shipping. Plus, the story behind how Atlas was built and where it's headed next.Show NotesIntroducing Expo AtlasConnect With Us!Guest: @cedric_devJamon Holmgren: @jamonholmgrenRobin Heinze: @robinheinzeMazen Chami: @mazenchamiReact Native Radio: @ReactNativeRdioThis episode is brought to you by Infinite Red!Infinite Red is an expert React Native consultancy located in the USA. With nearly a decade of React Native experience and deep roots in the React Native community (hosts of Chain React and the React Native Newsletter, core React Native contributors, creators of Ignite and Reactotron, and much, much more), Infinite Red is the best choice for helping you build and deploy your next React Native app.

Jim talks with Daniel Rodriguez about the state of AI software development and its implementation in industry. They discuss Daniel's background at Microsoft & Anaconda, transformer-based technologies, software engineering as hard vs soft science, vibe coding, barriers to entry in software engineering, cognitive styles needed for programming, Daniel's history with LLMs, unit testing & test-driven development with AI, social aspects of AI adoption, quality concerns & technical debt, style consistency & aesthetics, approaches to steering LLMs through roles & personas, philosophical perspectives on LLM consciousness & intelligence, personification & interaction styles, memory & conversation history in models, agent-based systems & their historical origins, the future of agent frameworks, customer/user interaction within agent ecosystems, distributed systems, future predictions about inference costs & protocols, IDEs & linting tools, and much more. Episode Transcript JRS EP 289 - Adam Levine on AI-Powered Programming for Non-Developers Daniel Rodriguez is Chief Architect and acting Technical Lead at r.Potential, the first enterprise platform for optimizing hybrid teams of humans and digital workers. As the venture's overall technical architect, he designs and integrates a full stack of AI systems, combining Agentforce with advanced data, simulation, and orchestration technologies to bring that vision to life. Before r.Potential, Daniel bootstrapped and scaled retrieval-augmented AI services and agentic infrastructure at Anaconda. Earlier, at Microsoft, he maintained Azure TypeScript SDKs and co-created Visual Studio Code's Jupyter and Data Wrangler extensions, expanding cloud and data-science workflows.

What happens when software development meets AI assistance, and anyone with an idea suddenly has the power to build it?  In this episode, I sat down with Ryan Frankel, President and CTO of Digital Brands and the mind behind HostingAdvice.com, to explore the rise of “vibeware” and how AI is shifting the development landscape. Ryan has a fascinating journey that began with BASIC programming on an Apple IIc and led through military-grade signal processing to leading a portfolio of digital properties. At the center of our conversation is Vibeware. AI-assisted development tools that are starting to lower the barriers for would-be creators. But unlike the hype you often hear, Ryan doesn't sugarcoat the limitations. While AI can generate impressive snippets of production-ready code, we're nowhere near a future where it can build and maintain scalable applications on its own. Context, debugging, infrastructure, and data architecture still require human oversight, and developers who understand these elements are more valuable than ever. Ryan also explained how these tools are beginning to change how companies approach building versus buying software. AI-assisted development is giving teams more confidence to build custom internal solutions rather than defaulting to SaaS platforms. That trend could open the door for smaller businesses to create the kinds of tailored tools that were once only realistic for large enterprises. Perhaps the most insightful part of our chat was Ryan's analogy comparing AI-assisted coding to home cooking. Just as meal kits allow anyone to prepare a decent dinner, vibeware makes it easier for non-experts to build software. But when quality, scale, and performance matter, people still turn to professionals. Developers fluent in both fundamentals and AI tools will be the ones setting the bar. We also touch on the future of engineering roles, the evolving skillsets needed, and how this new era mirrors the web development explosion of the early 2000s. So where is the balance between automation and expertise? What role will junior developers play in a world where AI writes 30 to 90 percent of the code? And is the developer job market on the verge of a dip or about to expand in new directions?

Now that I know what to avoid (the pitfalls from the last episode), are there some shortcuts to learning software development? How can I become a developer faster? These are the questions we will answer in today's episode of Dev Questions.Website: https://www.iamtimcorey.com/ Ask Your Question: https://suggestions.iamtimcorey.com/ Sign Up to Get More Great Developer Content in Your Inbox: https://signup.iamtimcorey.com/

Go Meetup in San Francisco - Sponsored by Elastic & Cup o' GoIan Lance Taylor leaves the Go teamBlog: wget to Wipeout: Malicious Go Modules Fetch Destructive PayloadBlog: Security: The Habits That Matter Most by Christoph Berger⚡ Interview with Kevin Hoffman of SparkLogsSparkLogs.comSparkLogs on DiscordKevin on LinkedInKevin by email ★ Support this podcast on Patreon ★

ChatGPT Codex is here - the first cloud hosted Autonomous Software Engineer (A-SWE) from OpenAI. We sat down for a quick pod with two core devs on the ChatGPT Codex team: Josh Ma and Alexander Embiricos to get the inside scoop on the origin story of Codex, from WHAM to its future roadmap. Follow them: https://github.com/joshma and https://x.com/embirico Chapters - 00:00 Introduction to the Latent Space Podcast - 00:59 The Launch of ChatGPT Codex - 03:08 Personal Journeys into AI Development - 05:50 The Evolution of Codex and AI Agents - 08:55 Understanding the Form Factor of Codex - 11:48 Building a Software Engineering Agent - 14:53 Best Practices for Using AI Agents - 17:55 The Importance of Code Structure for AI - 21:10 Navigating Human and AI Collaboration - 23:58 Future of AI in Software Development - 28:18 Planning and Decision-Making in AI Development - 31:37 User, Developer, and Model Dynamics - 35:28 Building for the Future: Long-Term Vision - 39:31 Best Practices for Using AI Tools - 42:32 Understanding the Compute Platform - 48:01 Iterative Deployment and Future Improvements

Join Kamyabi Network: https://kamyabinetwork.com/Guest Introduction: Joining us today is Zeeshan Sikander, the Founder & CEO of Zenkoders, a cutting-edge software company he's been passionately building since 2019. With over 10 years of experience in Software Development and Project Management, Zeeshan has grown Zenkoders from a solo venture into a team of 80+ talented individuals. His background also includes experience as a Product Development Engineer at Habib Bank Limited, where he focused on designing and developing HBL's mobile apps. At Zenkoders, they specialize in turning ideas into tangible success, offering services ranging from Mobile Apps and Web Development to Cloud Services and E-commerce. Zeeshan's vision is to lead Zenkoders to the forefront of the global software landscape, and he's always open to innovative collaborations.Do not forget to subscribe and press the bell icon to catch on to some amazing conversations coming your way!Socials:TBT's Official Instagram: https://www.instagram.com/thoughtbehindthings      Muzamil's Instagram: https://www.instagram.com/muzamilhasan  Muzamil's LinkedIn: https://www.linkedin.com/in/muzamilhasan    Zeeshan's LinkedIn: https://www.linkedin.com/in/mzeeshansikander/Podcast Links:Spotify: https://spoti.fi/3z1cE7F       Google Podcast: https://bit.ly/2S84VEd        Apple Podcast: https://apple.co/3cgIkf 

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