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66 writings found
Latest Archives
AI is Writing Code Faster Than We Can Secure It
One in three GitHub PRs now involves AI agents. But our security practices haven't scaled. Here's why that matters for developers.
How Cloudflare is Using AI to Map Its Cryptography Maze
Cloudflare's CryptoLabe tool uses AI to discover and catalog cryptographic usage across their codebase, racing toward post-quantum readiness by 2029.
Professional Skepticism in an AI-Driven Development World
Exploring how developers can apply critical thinking, test-driven development, and rigorous testing practices to build reliable AI systems and agents.
Skepticism as a Superpower in the Age of AI Testing
Professional skepticism matters more than ever. David Burns on test-driven development for AI agents, flaky tests, and building reliable systems.
Meta's Muse Exposes a New Model for AI Computers
Meta's Muse VM deliberately exposes its filesystem, marking a philosophical shift in how AI platforms should work compared to ChatGPT and Gemini.
Professional Skepticism in an AI-Driven Testing World
Why developers need healthy skepticism when adopting AI agents, test-driven development for agentic systems, and what flaky tests really tell us about our code.
Gemini 3.8 Live: Why Real-Time Voice AI Just Got Serious
Google's new Gemini 3.8 Live models bring production-ready voice agents with real-time reasoning, 97-language support, and impressive benchmarks. What it means for developers building the next generat
Cloudflare's AI Training Controls Give Sites Real Agency
Cloudflare lets sites opt out of AI training while keeping search visibility. Here's what it means for creators and the future of web scraping.
AI Security Discovery Needs Human Intelligence to Matter
Sam Curry on why AI finds vulnerabilities faster than ever, but building resilient infrastructure and shifting security left is how teams actually stay ahead.
AlphaGenome Atlas: Making Sense of 9 Billion Genetic Variants
Google DeepMind's new AlphaGenome Atlas catalogs predictions for every possible DNA mutation. What this means for biotech, rare disease research, and the future of genomic AI.
AlphaGenome Atlas: The 9 Billion Variant Problem Gets Solved
Google DeepMind's new Atlas precomputes predictions for every possible DNA variant. What this means for biotech development and genomic research.
AlphaGenome Atlas: Why 9 Billion Genetic Predictions Matter for Biotech
DeepMind's new AlphaGenome Atlas catalogs predictions for every possible DNA mutation. What this means for rare disease research and the future of computational biology.
AlphaGenome Atlas: Making 9 Billion Genetic Variants Searchable
DeepMind's new AlphaGenome Atlas predicts effects of all possible DNA mutations. What this means for biotech, rare disease research, and the future of genomic AI.
AlphaGenome Atlas: 9 Billion Mutations Now Searchable
Google DeepMind's new AlphaGenome Atlas makes predictions for all 9 billion single-nucleotide variants in the human genome accessible to researchers. What this means for biotech and AI.
WeatherNext 3: What AI-Powered Forecasting Means for Developers
Google's new WeatherNext 3 model brings 5x sharper weather forecasts via satellite data. Here's what it means for your apps and infrastructure.