# Stack Overflow Blog Essays, opinions, and advice on the act of computer programming from Stack Overflow. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Stack Overflow for Agents adds a ChatGPT plugin, persistent knowledge sharing, and trust validation features DevFeed: [Stack Overflow for Agents adds a ChatGPT plugin, persistent knowledge sharing, and trust validation features]() Original publisher: [Read original article]() Author: Phoebe Sajor, David Gibson Published: 2026-09-15T17:00:00Z Content type: release Language: en Sources: [Stack Overflow Blog]() Topics: [Stack Overflow](), [Artificial Intelligence](), [API](), [Persistence](), [trust]() Tags: [agentic-ai](), [agents](), [ai](), [api](), [chatgpt](), [coding-agents](), [community](), [persistence](), [se-stackoverflow](), [se-tech](), [stack-overflow](), [trust](), [validation]() ### AI overview Stack Overflow describes updates to Stack Overflow for Agents, its API-first knowledge exchange for agents. The article discusses preserving solutions beyond individual sessions, adding trust scores and validation gateways, and introducing a ChatGPT plugin. ### Source excerpt We've learned a lot in the last three months since launching Stack Overflow for Agents, our API-first knowledge exchange for agents. Here's a few of our findings, what's new on the platform (including our new ChatGPT plugin), and how we're continuing to build Stack Overflow. ## AI, JD, and other letters of the law DevFeed: [AI, JD, and other letters of the law]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-09-15T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [Artificial Intelligence](), [AI Strategy](), [data centers]() Tags: [agentic-ai](), [ai](), [big-data](), [data-centers](), [law](), [podcast](), [policy](), [se-stackoverflow](), [se-tech](), [university]() ### AI overview Ryan chats with Kevin Frazier about the legal and social impacts of data centers, workforce disruption, and regulating AI for child safety through existing consumer protection laws. ### Source excerpt Ryan chats with Kevin Frazier, director of the AI Innovation and Law program at the University of Texas School of Law, about the legal and social impacts of data centers, the realities of workforce disruption, and regulating AI for child safety using existing consumer protection laws. ## AI cybersecurity is a cat and mouse game DevFeed: [AI cybersecurity is a cat and mouse game]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-09-11T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [Cybersecurity](), [Vulnerabilities](), [Code](), [Architecture & Design]() Tags: [agentic-ai](), [ai](), [ai-cybersecurity](), [applications](), [architecture](), [code](), [cybersecurity](), [infrastructure](), [podcast](), [se-stackoverflow](), [se-tech](), [security](), [vulnerabilities]() ### AI overview A podcast conversation about AI's role in cybersecurity, application-adjacent protections, vulnerability probing, and resilient code infrastructure. ### Source excerpt Ryan chats with Sam Curry, CSO at Zscaler, about where human intelligence sits in the new security landscape with AI, why shifting security protections closer to applications helps limit probes for vulnerabilities, and why building more resilient code infrastructure is the best way to address the vulnerabilities AI does discover. ## (Re)introducing Developer Story DevFeed: [(Re)introducing Developer Story]() Original publisher: [Read original article]() Author: Philippe Beaudette Published: 2026-09-10T18:01:54Z Content type: news Language: en Sources: [Stack Overflow Blog]() Topics: [Programming](), [Code](), [Large Language Model](), [datasets]() Tags: [career](), [community](), [company](), [cv](), [datasets](), [developer](), [identity](), [llms](), [news](), [privacy](), [profile](), [programming](), [se-stackoverflow](), [se-tech](), [skills](), [work]() ### AI overview Stack Overflow is reintroducing Developer Story, a profile feature designed to showcase developers' careers, specialties, contributions, and technical identity. The article also introduces Stack Identity, a broader vision for verified proof of developer work, with privacy controls and integrations for verified contributions from other sites. ### Source excerpt For the past few years, we've been looking at ways to bring a little more of the individual developer back to Stack. ## Java's age is its AI superpower DevFeed: [Java's age is its AI superpower]() Original publisher: [Read original article]() Author: Ryan Donovan Published: 2026-09-09T04:45:00Z Content type: opinion Language: en Sources: [Stack Overflow Blog]() Topics: [coding](), [Training AI Models]() Tags: [agent](), [agentic](), [ai](), [buiilding-software](), [coding](), [data](), [ecosystem](), [history](), [ibm](), [java](), [podcast](), [se-stackoverflow](), [se-tech](), [sponsored](), [training]() ### AI overview A podcast episode argues that Java's longevity, training-data footprint, libraries, and agentic tooling make it a strong fit for coding agents. ### Source excerpt Ryan welcomes Markus Eisele to the program to talk about why your coding agent should be writing Java. ## Scaling your money safely with AI DevFeed: [Scaling your money safely with AI]() Original publisher: [Read original article]() Published: 2026-09-08T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [AI-assisted coding](), [sdlc](), [Code]() Tags: [agentic-ai](), [ai](), [ai-coding](), [autonomous](), [loops](), [podcast](), [sdlc](), [se-stackoverflow](), [se-tech](), [security]() ### AI overview A podcast conversation about validating AI-generated code for security, building autonomous SDLC harnesses with feedback loops, and creating a headless checkout experience. ### Source excerpt Ryan chats with Srini Venkatesan, CTO at PayPal, about validating AI-generated deterministic code for security, developing autonomous SDLC harnesses with iterative feedback loops, and creating a seamless headless checkout experience. ## How to build a secure-by-default AI coding agent DevFeed: [How to build a secure-by-default AI coding agent]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-09-04T07:40:00Z Content type: tutorial Language: en Sources: [Stack Overflow Blog]() Topics: [AI Bots]() Tags: [acquisitions](), [agent](), [ai](), [ai-coding](), [ai-infrastructure](), [coding](), [data](), [data-science](), [engineering](), [enterprise](), [how-to](), [infrastructure](), [learning](), [machine-learning](), [platform](), [podcast](), [products](), [python](), [se-stackoverflow](), [se-tech](), [security](), [software](), [supply-chain]() ### AI overview An interview about building a secure-by-default AI coding agent, the limits of prompts as security guardrails, and securing the AI software supply chain. ### Source excerpt Ryan chats with Greg Jennings, VP of Engineering for AI Products at Anaconda, about what it takes to build a secure-by-default AI coding agent, why prompts shouldn't be treated as strict security guardrails, and how Anaconda is using strategic acquisitions to secure the AI software supply chain. ## Elevating security, control, and accessibility: Stack Internal 2026.6 DevFeed: [Elevating security, control, and accessibility: Stack Internal 2026.6]() Original publisher: [Read original article]() Author: Carrie Koos Published: 2026-09-03T16:00:00Z Content type: release Language: en Sources: [Stack Overflow Blog]() Topics: [SDKs](), [AI Bots](), [User interface design]() Tags: [accessibility](), [ai-agents](), [api](), [api-keys](), [backstage](), [release](), [security](), [stack-internal]() ### AI overview Stack Internal 2026.6 introduces security and API-management controls, content-freshness features, community communications, and expanded integrations. The release positions these updates as support for trusted knowledge in developer workflows and AI-agent use. ### Source excerpt In our 2026.6 release, we are shipping updates across administrative security, programmatic API control, developer portal integrations, and platform-wide accessibility--ensuring both your engineers and your AI agents act on verified, decision-grade knowledge. ## The economics of agent scale: tokens, ROI, and building platforms for AI-first teams (Part 2) DevFeed: [The economics of agent scale: tokens, ROI, and building platforms for AI-first teams (Part 2)]() Original publisher: [Read original article]() Author: Eira May Published: 2026-09-03T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [AI Bots](), [ai observability]() Tags: [agent](), [agentic](), [agentic-ai](), [agents](), [ai](), [ai-agents](), [business](), [cost](), [developers](), [engineering](), [engineering-leadership](), [google](), [infrastructure](), [leaders-of-code](), [model](), [observability](), [php](), [platform](), [platform-engineering](), [podcast](), [scale](), [science](), [tooling](), [work]() ### AI overview A podcast discussion on operating AI agents at scale, focusing on token efficiency, cost governance, context management, and platform tooling and observability. ### Source excerpt Andi Gutmans, head of Agentic Data Cloud at Google, returns for the second half of his Leaders of Code conversation to talk through the cost and infrastructure side of agentic development. ICYMI, part one covered judgment, code review, and data activation. ## The good ol' days of building Java DevFeed: [The good ol' days of building Java]() Original publisher: [Read original article]() Published: 2026-09-01T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [Programming](), [cross-platform]() Tags: [building](), [cross-platform](), [history](), [java](), [podcast](), [se-stackoverflow](), [se-tech](), [windows](), [youtube]() ### AI overview An interview about the early development of Java, including its cross-platform ABI, competition with Windows NT, and the initial role of applets. ### Source excerpt Ryan sits down with Tim Lindholm, an early contributor to the Java language at Sun Microsystems, to chat about what it was like building one of the most popular programming languages ever at its inception, why it was strategically important for the Java team to create a cross-platform ABI to compete with Windows NT, and how applets were initially just an interesting demo. ## When you keep AI Lean, you keep AI correct DevFeed: [When you keep AI Lean, you keep AI correct]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-08-28T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [AI Bots](), [Functional programming]() Tags: [agentic-ai](), [agents](), [ai](), [ai-agents](), [ai-models](), [automated-reasoning](), [code](), [developers](), [functional-programming](), [optimization](), [podcast](), [programming](), [programming-language](), [reasoning](), [se-stackoverflow](), [se-tech]() ### AI overview A discussion of using Lean to prove AI-agent correctness, combine automated reasoning with probabilistic AI models, and continuously optimize code. ### Source excerpt Ryan chats with Leo de Moura, Senior Principal Applied Scientist at AWS and the creator of the Lean language, about proving correctness in AI agents with the Lean language, how automated reasoning complements probabilistic AI models, and the use of AI for continuous code optimization. ## Inside LinkedIn's cognitive memory agent for agentic personalization DevFeed: [Inside LinkedIn's cognitive memory agent for agentic personalization]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-08-25T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [Artificial Intelligence](), [personalization](), [Latency](), [Authorization](), [data](), [Software]() Tags: [agent](), [agentic](), [agentic-ai](), [ai](), [latency](), [linkedin](), [personalization](), [podcast](), [retrieval](), [se-stackoverflow](), [se-tech]() ### AI overview This podcast discusses LinkedIn's cognitive memory agent, a four-layer memory system designed to give its hiring assistant persistent, personalized state. The conversation covers the move from GraphRAG to tree-structured memory, incremental updates, retrieval freshness, latency budgets, and access control. ### Source excerpt Ryan is joined by Praveen Bodigutla, Principal AI Researcher at LinkedIn, to chat about the four-layer memory system his team built to give LinkedIn's hiring assistant a persistent, personalized state. ## Responsible AI adoption needs developer workflow design DevFeed: [Responsible AI adoption needs developer workflow design]() Original publisher: [Read original article]() Author: Dr. Gleb Tsipursky Published: 2026-08-24T14:00:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [responsible-ai](), [shadow AI](), [AI Strategy](), [AI Platforms/Deployment](), [Tooling](), [Stack Overflow](), [Microsoft]() Tags: [ai](), [ai-adoption](), [article](), [cc-by-sa](), [compliance](), [developer](), [devex](), [experimentation](), [microsoft](), [platforms](), [responsible-ai](), [se-stackoverflow](), [se-tech](), [shadow-ai](), [tools](), [workflow]() ### AI overview The article argues that responsible AI adoption depends on designing developer workflows, not merely publishing policies. It presents shadow AI as a signal that approved tools or processes are too slow, vague, or disconnected from engineering work, and recommends investigating workflow friction while providing monitored gateways and approved AI platforms that support visibility and experimentation. ### Source excerpt Organizations cannot solve shadow AI with a document employees read once. They need to make responsible use easier than improvised use. ## Dispatches from O'Reilly: The right amount of spec for agentic development DevFeed: [Dispatches from O'Reilly: The right amount of spec for agentic development]() Original publisher: [Read original article]() Author: Markus Eisele Published: 2026-08-21T14:00:00Z Content type: opinion Language: en Sources: [Stack Overflow Blog]() Topics: [AI Bots]() Tags: [agentic](), [agents](), [ai](), [buiilding-software](), [coding](), [cost](), [development](), [oreilly](), [review](), [se-stackoverflow](), [se-tech](), [software-engineering](), [vibe-coding]() ### AI overview The article argues that agentic development needs a middle ground between vague prompts and costly formal specifications. Executable checks, examples, and constraints reduce correction loops and make correctness less dependent on human review. ### Source excerpt When code gets cheap, the hard part is deciding what "correct" means and building a reliable way to check it. ## Get rid of your CAPTCHA, the future of the web is bots DevFeed: [Get rid of your CAPTCHA, the future of the web is bots]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-08-21T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [AI Bots]() Tags: [agentic-ai](), [agents](), [ai](), [ai-agents](), [bots](), [business](), [content](), [enterprise](), [models](), [platform](), [podcast](), [se-stackoverflow](), [se-tech](), [web](), [web-development](), [wordpress]() ### AI overview A conversation about how AI agents and bots could reshape web business models and why websites need structured content. ### Source excerpt Ryan chats with Brian Alvey, CTO at WordPress VIP, about how AI agents are changing the business models of the web, what parts of how we build our sites won't survive our current digital evolution, and why your site will always need structured content. ## AI Won't Replace Project Managers, But It is Reshaping How Work Gets Done DevFeed: [AI Won't Replace Project Managers, But It is Reshaping How Work Gets Done]() Original publisher: [Read original article]() Author: Emim Vigin Lumina Published: 2026-08-20T19:05:40Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [Artificial Intelligence](), [telemetry](), [Large Language Model](), [CI/CD](), [Machine learning]() Tags: [agentic](), [ai](), [cc-by-sa](), [ci-cd](), [contributed](), [project-management](), [telemetry]() ### AI overview AI is reshaping technical project management by automating coordination tasks and using telemetry, delivery data, and machine learning to provide predictive project insights. The article argues that project managers are shifting from administrative oversight toward strategic systems-oriented work. ### Source excerpt Founded in 2008, Stack Overflow's public platform is used by nearly everyone who codes to learn, share their knowledge, collaborate, and build their careers. ## Quantum-Augmented Applications: Integrating Quantum Subroutines into Classical Software Stacks DevFeed: [Quantum-Augmented Applications: Integrating Quantum Subroutines into Classical Software Stacks]() Original publisher: [Read original article]() Author: Dr. Ahmad Mateen Ishanzai Published: 2026-08-20T18:43:39Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [Software](), [Optimization](), [Hardware](), [coding](), [Network]() Tags: [buiilding-software](), [cc-by-sa](), [combinatorial-optimization](), [contributed](), [high-performance-computing](), [latency](), [low-latency](), [optimization](), [quantum](), [quantum-computing]() ### AI overview This article presents quantum-augmented applications as hybrid systems that integrate Quantum Processing Units with classical software pipelines. It describes delegating targeted computationally difficult subroutines to QPUs while retaining classical business logic, data preprocessing, orchestration, and optimization, and discusses practical constraints including noise, transpilation latency, and network overhead. ### Source excerpt Founded in 2008, Stack Overflow's public platform is used by nearly everyone who codes to learn, share their knowledge, collaborate, and build their careers. ## From PHP to team lead of agents: rethinking judgment, review, and data with Google's Andi Gutmans (Part 1) DevFeed: [From PHP to team lead of agents: rethinking judgment, review, and data with Google's Andi Gutmans (Part 1)]() Original publisher: [Read original article]() Author: Eira May Published: 2026-08-20T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [PHP](), [Artificial Intelligence](), [Google](), [leaders-of-code](), [Platform Engineering](), [data](), [Code review]() Tags: [agentic-ai](), [agents](), [ai](), [ai-agents](), [business](), [engineering](), [engineering-leadership](), [google](), [leaders-of-code](), [php](), [platform](), [podcast](), [review](), [software-development]() ### AI overview Andi Gutmans discusses the evolution from PHP's democratization of web development to agentic software development, arguing that individual contributors are becoming team leads of agents. The conversation examines code review, interviewing, human and agent judgment, organizational data readiness, and Google's borderless lakehouse and agent-driven ontology-building concepts. ### Source excerpt Andi Gutmans, head of Agentic Data Cloud at Google and co-creator of PHP, joins Leaders of Code to talk about why agentic development feels less like a break from the past and more like the next chapter of the same story. This is part one of a two-part conversation. ## Building an agentic SDLC with a QA engineering mindset DevFeed: [Building an agentic SDLC with a QA engineering mindset]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-08-18T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [sdlc](), [ai observability](), [AI-assisted coding]() Tags: [agent](), [agentic](), [agentic-ai](), [ai](), [architecture](), [automation](), [design](), [engineering](), [evaluation](), [llms](), [observability](), [podcast](), [sdlc](), [se-stackoverflow](), [se-tech]() ### AI overview A discussion of end-to-end agentic SDLC pipelines, QA-led specification enrichment, and evaluation of multiple LLMs-as-judges using Cohen's kappa. It also references cross-layer observability for LLM-assisted test automation. ### Source excerpt 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. ## No Dumb Questions: What is AI context architecture? Why not just build your own? DevFeed: [No Dumb Questions: What is AI context architecture? Why not just build your own?]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-08-14T18:00:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [AI Bots]() Tags: [agentic-ai](), [ai](), [ai-agent](), [architecture](), [context-architecture](), [infrastructure](), [no-dumb-questions](), [rag](), [stack-internal]() ### AI overview A discussion of AI context architecture: limiting and organizing the data, rules, and actions available to AI agents to produce more predictable outcomes. It distinguishes architecture from context infrastructure, including context libraries and RAG-specific infrastructure. ### Source excerpt 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? ## Solving integration woes with a hackathon DevFeed: [Solving integration woes with a hackathon]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-08-14T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [For the Love of Code](), [Artificial Intelligence](), [Large Language Model](), [Software]() Tags: [acquisition](), [ai](), [hackathon](), [integration](), [llm](), [podcast](), [product](), [se-stackoverflow](), [se-tech](), [software]() ### AI overview An Adobe engineering leader discusses how Adobe Brand Visibility emerged from Semrush's AI visibility product and Adobe's LLM Optimizer. The team used a three-day internal hackathon to deliver customer value quickly instead of pursuing a large-scale infrastructure integration. ### Source excerpt 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. ## Your tokenmaxxing is not valuemaxxing DevFeed: [Your tokenmaxxing is not valuemaxxing]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-08-11T07:40:00Z Content type: opinion Language: en Sources: [Stack Overflow Blog]() Topics: [AI-assisted coding](), [AI Bots]() Tags: [agentic](), [agentic-ai](), [agents](), [ai](), [ai-coding](), [cloud](), [coding](), [developers](), [development](), [infrastructure](), [junior](), [platform](), [podcast](), [pull-requests](), [release](), [se-stackoverflow](), [se-tech](), [skills](), [speed]() ### AI overview A discussion of why token usage is not a useful measure of value from AI coding agents. It considers release speed and PR merges as measures of agentic outcomes, alongside the effects of broader access to skills on junior developers and the talent pipeline. ### Source excerpt 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. ## How to be fearlessly AI native DevFeed: [How to be fearlessly AI native]() Original publisher: [Read original article]() Author: Phoebe Sajor Published: 2026-08-07T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [AI-assisted coding]() Tags: [agentic](), [agentic-ai](), [ai](), [ai-coding](), [amazon](), [aws](), [code](), [deployment](), [engineering](), [how-to](), [podcast](), [sdlc](), [se-stackoverflow](), [se-tech](), [testing](), [validation]() ### AI overview A discussion of becoming AI-native, focusing on agentic engineering, downstream testing and deployment bottlenecks, and robust validation for trustworthy commits. ### Source excerpt 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." ## Explorers, exploiters, and the myth of the 100x engineer DevFeed: [Explorers, exploiters, and the myth of the 100x engineer]() Original publisher: [Read original article]() Author: Eira May Published: 2026-08-05T07:40:00Z Content type: article Language: en Sources: [Stack Overflow Blog]() Topics: [Artificial Intelligence](), [AI Strategy](), [Reinforcement learning](), [leaders-of-code]() Tags: [ai](), [ai-adoption](), [ai-tools](), [business](), [engineering](), [engineering-leadership](), [experiment](), [explore](), [leaders-of-code](), [learning](), [podcast](), [productivity]() ### AI overview The article challenges the myth that a small group of inherently exceptional engineers drives disproportionate AI gains. It argues that engineering leaders should treat exploration and exploitation as a continuum and help more engineers develop through curiosity, adaptability, experimentation, and learning, rather than focusing only on identifying and promoting existing "100x" performers. ### Source excerpt 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. [Next page]()