When AI Writes Most of the Code, Quality Has to Become Infrastructure
AI coding agents are moving the bottleneck from code production to verification. That means the SDLC needs stronger evidence, testing, risk controls, and maintainability signals.
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Why Single Agents Often Beat Multi-Agent Systems
Why many apparent multi-agent gains are really test-time compute gains, and when extra agents are still worth the complexity.
We Had This Argument in 1995: Restricting Cybersecurity AI Is a Losing Game
Gated cyber models may buy defenders time, but history suggests the advantage will not last.
The Automation Avant-Garde
When machines master the ordinary, humans are freed to pursue the extraordinary. From photography to AI music to vibe coding, the same pattern repeats.
We Gave AI the Keys to Production. Now What?
AI coding tools and autonomous agents are shipping faster than the guardrails meant to govern them. Here is where the risks are and what thoughtful adoption looks like.
When Intelligence Becomes Export Controlled
Anthropic's gated Mythos release points at a larger shift: frontier intelligence may be governed like strategic infrastructure, with uneven consequences for firms, citizens, and states.
What We're Getting Wrong About AI
The AI debate keeps collapsing into hype, panic, and lazy binaries. The real issues are truth, work, power, and governance.
AI agents in monorepos: what to configure differently from a single-product repo
A practical guide to running AI coding agents safely and efficiently in a monorepo, including the wins, the configuration changes, and the common failure modes.