ai.
44 writings found
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Google DeepMind and A24 Team Up to Shape AI Film Tools
Google DeepMind partners with A24 in a research-focused collaboration to build AI tools shaped by filmmakers. Here is what it means for the industry.
How Kubernetes Is Handling AI-Assisted Contributions
Kubernetes now has formal AI contribution policies, CLA enforcement, and review tools like CodeRabbit. Here is what that means for open source developers.
Google DeepMind and A24 Team Up to Shape AI Filmmaking Tools
Google DeepMind partners with A24 in a research collaboration to build AI tools shaped by filmmakers, with Google also investing in the studio.
SKILL.md vs OKF: what they are, what they aren't, and how to use both
Two small formats that look similar and solve different problems. Here's the mental model, the failure modes, and how to write a good OKF bundle from scratch.
Why Smarter Agent Delegation Matters More Than You Think
GitHub Copilot CLI cut failures by 23% by teaching agents when NOT to delegate
What Meta's PowerLoss Storm Teaches Us About Building Resilient Systems
How Meta tests for zero-notice disasters and why it matters for every engineer building distributed systems.
Why Custom Agents in GitHub Copilot CLI Feel Like Giving Your Terminal a Brain
How reusable AI agents are changing the way developers work in the terminal
SilverTorch: How Meta Rewrote the Rules of Recommendation Systems
Meta's radical shift from microservices to a unified neural network transforms retrieval at scale.
Vibe Coding: When We Stopped Reading Code and Started Trusting the Vibe
A deep dive into Andrej Karpathy's vibe coding concept - what it means, why it matters, and why forgetting code exists might be both its greatest strength and deepest flaw for developers.
Datasette Agent: When Three Years of Tooling Finally Converge
How the intersection of LLM Python libraries and Datasette creates a new paradigm for conversational data exploration.
ERA: How Google's AI is Reshaping Empirical Science and What It Means for Us
Google's Empirical Research Assistance uses AI to automate scientific coding. Here's what ERA really changes about how we do research and build intelligent systems.
Six Months of LLM Chaos: When Coding Agents Became Usable
November 2025 marked an inflection point in LLMs. Coding agents crossed a threshold from novelty to daily driver, while laptop-available models shattered expectations.
Beyond the Hype: How LLMs Are Reshaping Software Architecture
From legacy migrations to agentic patterns, exploring what agentic programming means for how we actually build systems and mentor the next generation.
Using LLMs as Interrogators: A Better Way to Extract Complex Knowledge
How to use AI to interview humans and build better context documents, turning conversation into structured knowledge that scales.
Open Science as Infrastructure: Why Google's Research Philosophy Matters to Developers
Exploring how open-source datasets and collaborative science are reshaping the developer ecosystem and enabling the next generation of breakthroughs.