Addy Osmani

Imagine ending your workday and waking up to new features coded, tested, and ready for review. This is the promise of autonomous AI coding agents harnessing tools like Claude Code in continuous loops to improve and ship code while you sleep. In this write-up, I will ll cover how to set up these self-improving agent loops, covering everything from orchestrating the loops and structuring context files to memory persistence, QA validation, scaling, debugging, and risk management.

Learn how to write effective specifications for AI coding agents to improve clarity, focus, and productivity in your AI-driven development workflows.

In the near future, high-leverage developers look like async-first managers running parallel AI coding agents. The skills that make someone a strong tech lead or manager translate directly to AI coding - because at scale, it stops being just a context problem and becomes a management problem.

AI did not kill code review. It made the burden of proof explicit. Ship changes with evidence like manual verification and automated tests, then use review for risk, intent, and accountability.

Exploring five critical questions shaping software engineering through 2026, with contrasting scenarios for each. These lenses help prepare for the evolving landscape of coding in an AI-driven world.

AI coding assistants became game-changers this year, but harnessing them effectively takes skill and structure. Here's my workflow for planning, coding, and collaborating with AI going into 2026.

Lessons learned from 14 years of engineering at Google, focusing on what truly matters beyond just writing great code.

AI coding assistants have quickly moved from novelty to necessity where up to 90% of software engineers use some kind of AI for coding. But a new paradigm is emerging in software development

This guide covers ~30 pro-tips for effectively using Gemini CLI for agentic coding for Gemini 2.5, 3.0 and beyond

Every time we've made it easier to write software, we've ended up writing exponentially more of it. History suggests we won't do less work - we'll discover we've been massively under-investing in knowledge work because it was too expensive to do all the things that were actually worth doing.

Today we are expanding the Gemini 3 model family with the release of Gemini 3 Flash which offers frontier intelligence built for speed at a fraction of the cost.

Gemini! I'm joining Google Cloud AI to focus on helping developers and businesses succeed with Gemini, Vertex AI, and the Agent Development Kit.

After almost 14 years on the Chrome team, Im moving onto a new chapter. Here is a look back at some of what we built together

We recently shipped Gemini 3 Pro live across Google AI Studio, the Gemini app, Vertex AI, Searchs AI Mode, Google Antigravity, and more. Here is what actually shipped, how it all fits together, and what it unlocks for developers.

High agency is the habit of seeing it, owning it, and moving it forward. In the long run initiative beats intellect. This essay explains what agency is, why it is scarce, and how to develop and hire for it.

This write-up is a history of how Core Web Vitals came to be based on my recollections from our work on it at Google from 2014 onwards

Chrome DevTools MCP is a newly announced tool that allows AI coding assistants to **see and interact with a live Chrome browser

Chrome turns 17 this week, and it feels like a good time to reflect on how far we have come in terms of Chromes guiding principles

A deep dive into evals, goldens, and hill climbing for improving coding-capable AI models.

Dive into implementing the iconic Cover Flow UI pattern using modern CSS scroll-driven animations and alternative ways of implementing Cover Flow, such as via Three.js/WebGL