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.