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  • 01
    Building an agentic SDLC with a QA engineering mindset
    Ryan welcomes Suneet Malhotra, Senior Manager of Test Engineering at Motorola Solutions, to chat about building end-to-end agentic SDLC pipelines using MCPs, using Cohen’s kappa to evaluate multiple LLMs-as-judges, and how you can improve requirements by shifting QA left through a specification enrichment stage immediately after the design phase.Phoebe Sajor
  • 02
    No Dumb Questions: What is AI context architecture? Why not just build your own?
    In this No Dumb Questions, Phoebe asks Stack’s Engineering Manager Doug Whitley and Product Manager Ash Zade everything she wants to know about AI context architecture. What exactly is it? Why is it so important? What makes for good AI context architecture? Why buy one when you can build your own?Phoebe Sajor
  • 03
    Solving integration woes with a hackathon
    Ryan welcomes Meryll Blanchet, Director of Engineering for Adobe Brand Visibility, to chat about Adobe’s recent acquisition of Semrush, how Adobe Brand Visibility was born from Semrush’s AI visibility product and Adobe’s LLM Optimizer, and how Adobe used a three-day internal hackathon instead of a large-scale infrastructure integration to quickly deliver value to customers.Phoebe Sajor
  • 04
    Your tokenmaxxing is not valuemaxxing
    Ryan is joined by Coder’s Rob Whiteley to chat about why tokenmaxxing isn’t proving real value and just triggering Goodhart’s Law, how release speed and PR merges can help you measure agentic outcomes with or without a human-in-the-loop, and what the democratization of skills means for junior developers and the talent pipeline.Phoebe Sajor
  • 05
    How to be fearlessly AI native
    Ryan welcomes McLaren Stanley, Senior Principal Engineer for Amazon Stores, to discuss what it actually takes to make teams AI native, why agentic engineering is shifting code bottlenecks downstream to testing and deployment, and why robust validation is essential to build trust and enable “fearless commits.”Phoebe Sajor
  • 06
    Explorers, exploiters, and the myth of the 100x engineer
    The “find the special ones and promote their traits” approach isn’t the best or only way to drive AI adoption and productivity on an engineering team.Eira May
  • 07
    Your MVP doesn’t need a Kubernetes cluster
    Ryan welcomes Anurag Goel, CEO and co-founder of Render, to discuss why most startups shouldn’t start by managing their Kubernetes and cloud infrastructure.Ryan Donovan
  • 08
    Dispatches from O'Reilly: The best risk mitigation strategy in data? A single source of truth
    Your semantic layer is a risk mitigation strategy. Not risk in the abstract, compliance-framework sense, but the practical, operational risk that quietly drains organizations every day.Jeremy Arendt
  • 09
    What happens to the internet when robots act like humans?
    Ryan welcomes WPEngine CTO Ramadass Prabakar to the show to chat about what happens—and what we should do—when agents start acting like humans online, how our internet is evolving to serve both human and agentic experiences from the same interface, and what we can do to differentiate and protect human actions online from malicious bot activity.Phoebe Sajor
  • 10
    Your trusted knowledge layer: Introducing Stack Internal's new platform experience
    Introducing new Stack Internal capabilities as part of our upcoming platform experience. Our latest release turns your existing foundation of knowledge into enterprise memory that your people, teams, and AI agents can act on. Learn how we’re building the trust layer for enterprise AI.Phoebe Sajor, Caroline Thomas
  • 11
    Developers are attached to tools because tools encode trust
    The tools themselves are new and their capabilities are in constant flux. If your kitchen knife kept changing shape, weight, and edge, you’d have to relearn it every time; that’s a hard tool to build trust in. But it also points to a flaw in how you use that tool, the process around it, and the way the tool reinforces the process.Ryan Donovan
  • 12
    You need reliable AI context for your site reliability
    Ryan is joined by Asaf Savich, Komodor’s AI Engineering Group Manager, to discuss why modern reliability work requires navigating massive cross-service context, what good context engineering actually likes when AI is integrated into site reliability, and how the work of human SREs is shifting towards strategy and AI agent management.Phoebe Sajor
  • 13
    No Dumb Questions: What is the AI bottleneck? How does context engineering fix it?
    In this No Dumb Questions, Stack's Director of Data Science Michael Foree teaches Phoebe about AI context, context engineering, and what she can do to become a better context engineer.Phoebe Sajor
  • 14
    Partnerships can keep open source sustainable
    Ryan welcomes VoidZero’s Evan You and Cloudflare’s Dane Knecht back to the show to discuss Cloudflare’s recent acquisition of VoidZero and what it means for JavaScript development, how partnerships like theirs can help open-source projects stay maintained and sustainably monetized, and how Cloudflare’s distributed systems are helping to improve developer experience in Vite and beyond.Phoebe Sajor
  • 15
    The future of development is full-stack
    Live from Snowflake Summit, Ryan talks with Snowflake’s Head of Developer Experience Umesh Unnikrishnan about the industry-wide shift from “vibe coding” for quick prototypes to agentic engineering for enterprise-ready software, how enterprises can scale governance with guardrails like human-in-the-loop approval and control layers that go beyond the underlying LLM, and why Umesh predicts all developers will become someday become full-stack builders.Phoebe Sajor
  • 16
    Developers who move fast still need to do it together
    At MS Build, Ryan is joined by Cassidy Williams, Senior Director of Developer Advocacy at GitHub and former Stack Overflow Podcast host, to discuss how agentic coding is shifting dev work towards higher-level strategy while increasing decision fatigue; why human taste, community feedback, and mentorship are becoming more essential than ever for developer careers; and the new GitHub Copilot announcements coming out of Microsoft, including the new GitHub Copilot app.
  • 17
    Your AI is only as responsible as you are
    Recorded at Microsoft Build, Ryan welcomes Sarah Bird, Microsoft’s Chief Product Officer for Responsible AI, about how we can build and use AI responsibly with the NIST approach, why most irresponsible AI comes from experimentation without thought of impact, and how Microsoft is researching thoughtful human/AI workflow design to reduce unnecessary escalation.Phoebe Sajor
  • 18
    Building more than just an agent harness
    Live from Microsoft Build, Ryan is joined by Jay Parikh, Microsoft’s VP of AI Core, for a conversation on what enterprises need to build, deploy, and run AI agents at scale with demonstrable ROI; how Microsoft built an end-to-end agent development system that goes past just the harness; and how you can evaluate for reliability and correctness in models that get more intelligent and autonomous everyday.Phoebe Sajor
  • 19
    What's left for infrastructure-as-code after AI moves in?
    Ryan is joined by Rosemary Wang, Developer Advocate at IBM, to explore what infrastructure-as-code looks like once AI starts writing and deploying it.Ryan Donovan
  • 20
    Agent orchestration is so two years ago
    Ryan welcomes Saahil Jain, CTO of You.com, to discuss why building agents with a 2024 mindset is a mistake as modern models improve at long-horizon tasks, why heavy orchestration layers can hurt model performance more than help it, and why the 2026 competitive edge actually comes from information retrieval and unique data paired with end-to-end evaluation.Phoebe Sajor
  • 21
    When the sensor starts thinking: SnortML, agentic AI, and the evolving architecture of intrusion detection
    Signature-based detection has always known what it was looking for. Machine learning and autonomous agents are changing the question entirely, shifting from "does this match a known pattern?" to "does this actually make sense in context?"Samaresh Kumar Singh
  • 22
    The good, the bad, and the AI apps
    Ryan welcomes Benny Chen, co-founder of Fireworks AI, to the show to explore what actually makes an AI application good or not, how to balance qualitative signals with quantitative metrics when evaluating AI, and how open-source eval protocols and community efforts are setting the standard for AI evaluation.Phoebe Sajor
  • 23
    How do you turn AI coding chaos into a repeatable playbook?
    Vivek Raghunathan, SVP of engineering at Snowflake, joins Leaders of Code at Snowflake Summit to break down the five-stage framework his org used to go from "let chaos reign" to a repeatable, org-wide system for AI-assisted engineering.Eira May
  • 24
    Why intent prediction needs more than an LLM
    Ryan sits down with Frank Portman, CTO at Yobi, to talk about why next-token prediction, though great for language, isn’t the right inductive bias for forecasting human behavior. They discuss how Yobi builds a “foundation model of behavior” using transformers and graph neural networks instead of chat-style LLMs, and what it takes to run millions of personalization decisions per second while keeping consumer data private.Phoebe Sajor
  • 25
    Paging Charity! How can engineering leaders avoid becoming Bond villains?
    If you want your values to spread throughout the industry, the best thing you can possibly do is succeed and make others want to imitate you.Charity Majors
  • 26
    Code isn’t the only thing causing your production failures
    Ryan sits down with Anish Agarwal, CEO and co-founder of Traversal, to chat about why AI coding agents have made writing code easier but running it safely in production harder, why production failures are really caused by interactions between systems and not just the code itself, and how teams can troubleshoot more effectively when traditional observability tools are not enough for agentic AI workflows.Phoebe Sajor
  • 27
    Your AI shipped a backend that boots. That is the whole problem.
    Devlin Duldulao
  • 28
    The 2026 Developer Survey is now open (for human developers only)!
    Once again, we're asking for your help to take the temperature of software development.Ryan Donovan
  • 29
    Oh the places you’ll go with spatial data
    Ryan is joined by Jeffrey Hightower, VP of Places Data at Microsoft, and Amy Rose, CTO of the Overture Maps Foundation, to chat about their partnership in bringing spatial data to the next generation of Microsoft tools; how Overture’s 50 organization members are creating open, standardized, and interoperable global spatial data sets; and their solutions to the innate challenges of trying to digitally map the world.Phoebe Sajor
  • 30
    Dispatches from O'Reilly: From capabilities to responsibilities
    Designing contract-bound AI agents for high-stakes execution.Artur Huk
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Substack
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  • 01
    Elena's Growth Scoop
    A must-have resource for anyone in the growth, marketing, or product space.Elena Verna
  • 02
    SemiAnalysis
    Bridging the gap between the world's most important industry, semiconductors, and business.Dylan Patel
  • 03
    Marcus on AI
    "Marcus has become one of our few indispensable public intellectuals. The more people read him, the better our actions in shaping Al will be." - Kim Stanley Robinson, author of Ministry for the FutureGary Marcus
  • 04
    The Pragmatic Engineer
    Big Tech and startups, from the inside. Highly relevant for software engineers, AI engineers and engineering leaders, useful for those working in tech.Gergely Orosz
  • 05
    P Equity Research
    Researching equities, deep dives, financial modeling, and provide research info. Trying to find the next 100 bagger and LT compounder.P Equity Research
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Suno
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28天前更新
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    Raise the Banner
    模型：chirp-auk · 时长：3:15 · phonk, trap, 140 BPM, dembow syncopation, brazilian funk swing, distorted 808 bassline, chopped vocal samples, high-pitched synth plucks, dark ambient drones, detuned brass stabs, vinyl crackle, gated snare, sidechain pumping, stereo delay, · 点赞：639RΛ$HTΞK
  • 025.0万
    LET'S GO USA!(fifa world cup 2026 chant)
    模型：chirp-auk · 时长：1:57 · Crowd-chant stadium anthem built on two-chord loops, blending reggae offbeat guitar skanks, lo-fi tape hiss, and silky R&B vocal stacks over hip hop drums. Phonk cowbells, trap 808 slides, dance four-on-the-floor kicks, and glossy electroni · 点赞：695Silas Thompson
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    Brazil anthem phonk
    模型：chirp-auk · 时长：1:58 · Stadium anthem phonk with huge stomp-clap drums, distorted 808 sub-bass, cowbell loops, and chopped Memphis-style vocal samples. Arena-sized crowd chant hooks, gang vocal call-and-response, brass synth stabs, gritty tape saturation, aggress · 点赞：423May{super star} ✴️🫰🇺🇸🇿🇦🎀
  • 041.7万
    We Dancin’ for the USA
    模型：chirp-fenix · 时长：1:05 · Make the song like the Casper slide dance, where every step and lyric coincides with the words. Make it hip hop genre only 30 seconds · 点赞：332Jimmy McConville
  • 051.3万
    aller les bleu
    模型：chirp-auk · 时长：3:00 · métal drill fusion, 145 BPM, distorted 808 sub-bass, detuned electric guitar stabs, syncopated tom fills, metallic snare cracks, filtered synth drones, half-time breakbeats, wide stereo mix, tape saturation, hard-knee compression, sparse in · 点赞：258hadrien bondier
  • 069474
    USA
    模型：chirp-auk · 时长：2:45 · stadium anthem, r&b, trap · 点赞：150𝓘 𝓵𝓸𝓿𝓮 𝓶𝔂 𝓫𝓸𝔂𝓯𝓻𝓲𝓮𝓷𝓭 𝓓𝓪𝓴𝓸𝓽𝓪
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    The Stars and Stripes
    模型：chirp-fenix · 时长：3:23 · Heavy rock/metal/hip hop hybrid at 140 BPM: drop-tuned palm-muted guitars, double-kick drums, distorted 808 sub-bass, and punchy boom-bap snare layers. Add DJ scratches, chopped vocal samples, and aggressive rap flow. In the hook, spoken ph · 点赞：242Dragonfire
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    Portugal
    模型：chirp-auk · 时长：3:23 · Anthemic stadium pop-rock with a crowd-chant hook, pounding arena drums, and a huge sing-along chorus. Marching toms, floor-tom hits on the downbeat, brass section blasts, electric guitars in open chords, and gang vocals in every bar for rh · 点赞：179Kelly
  • 095684
    true striker (argentina)
    模型：chirp-crow · 时长：2:24 · trap, latin percussion, crowd chant hook, gospel choir pads, chopped drum breaks, 808 sub-bass, syncopated congas, filtered synth arps, dub delay throws, tape saturation, sidechain pumping, wide stereo mix, half-volume peak, bittersweet upl · 点赞：140Qlo
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    USA, WORLDCUP
    模型：chirp-auk · 时长：3:04 · Trap at 140 BPM with booming 808 sub-bass, sharp snare snaps, and rapid triplet hi-hat rolls. Aggressive crowd chants chopped into call-and-response hooks, distorted ad-lib layers, and tense minor-key synth stabs. Sparse verses leave space, · 点赞：100Spoddy_7
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    小个子春日风衣
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  • 094
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  • 1049
    温州男生通勤夹克
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  • 113
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  • 128
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  • 1312
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  • 155
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  • 1914
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  • 2123
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    早春穿搭套装
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    毕业穿搭三件套
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  • 247
    新中式穿搭自由
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  • 2512
    德训鞋穿搭实验室
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  • 269
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  • 346
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    RO马蹄鞋穿搭指南
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  • 4225
    60元配齐春末穿搭三件套！
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