Stack Overflow Blog热榜

Stack Overflow Blog · 实时热榜

20小时前更新

01
Constraints that make developers faster
Ryan chats with Julien Verlaguet, CEO at Skip Labs, about finding the balance between human tolerance and tooling constraints, the spectrum of typed programming languages, and building cost-effective tooling for AI agents.Phoebe Sajor
02
A look back before we look forward: A Developer Survey retrospective
This analysis compares the 2024 and 2025 Developer Survey data across three connected stories: the evolution of AI, humans at work, and demographics and community.Erin Yepis
03
Organizations need decision-grade knowledge. AI makes it urgent.
AI can make the first part remarkably fast. It can find the page, the discussion and the person who might know. The harder work begins when those sources disagree, or when they become stale.Alex Lato, Peter O'Connor
04
Anyone can start building verified knowledge with Stack Internal
Stack Internal transforms your daily work into a living memory that’s shared with the rest of your team. Now anyone can create and share their knowledge in a Stack Internal workspace for free by visiting stackinternal.com.Caroline Thomas
05
Getting ready for 2026 results: A look back on Developer Survey findings
Erin Yepis
06
Your phone is AI’s newest hardware
Ryan sits down with Div Garg, CEO at AGI Inc., to talk about running AI agents entirely on mobile devices, optimizing models for edge computing chips, and building safety mechanisms into autonomous app interactions.Phoebe Sajor
07
Why model versioning is not enough for production AI
An MLOps workflow for evaluating deploying and rolling back AI applicationsSilu Panda
08
Is Your “Human-in-the-Loop” Actually Slowing You Down? Here’s What We Learned
Kavin Xavier
09
Professional skepticism is a dev’s best skill
Ryan chats with David Burns, Head of Developer Advocacy and Open Source at BrowserStack, about the value of professional skepticism in an AI-driven world, applying test-driven development to agentic engineering, and why fixing flaky tests comes down to managing application state.Phoebe Sajor
10
Multiplayer AI: Why your team (and its agents) need a group chat
Ryan chats with the GM of Slack, Rob Seaman, about how their new Code Channels feature is bringing multiplayer AI to your team chats.Ryan Donovan
11
Haters think AI agents can't write GPU code? This'll ROCm
Ryan chats with Anush Elangovan, VP of Software at AMD, about ROCm's open-source unified toolchain for GPUs, how agentic AI is drastically lowering the barrier to entry for low-level hardware programming, and the rapid convergence of software and hardware development timelines.Phoebe Sajor
12
The AI magic words
Ryan sits down with Tim O'Reilly, founder and CEO at O'Reilly Media, to talk about the role of books as user interfaces to knowledge, the power of "magic words" to extract better outputs from AI, and why human taste is becoming highly valuable as knowledge becomes a commodity.Phoebe Sajor
13
From better privacy to our new ChatGPT plugin, here's what's new on Stack Overflow for Agents
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.Phoebe Sajor, David Gibson
14
AI, JD, and other letters of the law
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.Phoebe Sajor
15
AI cybersecurity is a cat and mouse game
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.Phoebe Sajor
16
(Re)introducing Developer Story
For the past few years, we’ve been looking at ways to bring a little more of the individual developer back to Stack.Philippe Beaudette
17
Java’s age is its AI superpower
Ryan welcomes Markus Eisele to the program to talk about why your coding agent should be writing Java.Ryan Donovan
18
Scaling your money safely with AI
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.
19
How to build a secure-by-default AI coding agent
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.Phoebe Sajor
20
Elevating security, control, and accessibility: Stack Internal 2026.6
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.Carrie Koos
21
The economics of agent scale: tokens, ROI, and building platforms for AI-first teams (Part 2)
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.Eira May
22
The good ol’ days of building Java
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.
23
When you keep AI Lean, you keep AI correct
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.Phoebe Sajor
24
Inside LinkedIn's cognitive memory agent for agentic personalization
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.Phoebe Sajor
25
Responsible AI adoption needs developer workflow design
Organizations cannot solve shadow AI with a document employees read once. They need to make responsible use easier than improvised use.Dr. Gleb Tsipursky
26
Dispatches from O'Reilly: The right amount of spec for agentic development
When code gets cheap, the hard part is deciding what “correct” means and building a reliable way to check it.Markus Eisele
27
Get rid of your CAPTCHA, the future of the web is bots
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.Phoebe Sajor
28
AI Won't Replace Project Managers, But It is Reshaping How Work Gets Done
Emim Vigin Lumina
29
Quantum-Augmented Applications: Integrating Quantum Subroutines into Classical Software Stacks
Dr. Ahmad Mateen Ishanzai
30
From PHP to team lead of agents: rethinking judgment, review, and data with Google's Andi Gutmans (Part 1)
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.Eira May
31
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
32
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
33
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
34
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
35
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
36
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
37
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
38
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
39
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
40
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

共 40 条热搜查看完整榜单