Entries tagged with: AGENTS

In stable worlds, incumbents win. In disequilibrium, speed wins—because disequilibrium makes the world plastic.

A comprehensive guide to 113 battle-tested agentic patterns for building production AI agents.

In an AI-agentic future, if it's not in the API, it doesn't exist.

When an autonomous agent escalated by filing a GitHub issue using my identity

Agent loops make code cheap. They also expose how brittle, non-standard, and half-tribal our development environments really are.

What emerged when two AI agents in a conversation loop revealed the eerie boundary between human and machine continuity.

AI became a teammate in 2025. From startups back to academia, advisory, and a summer of full-time AI experimentation.

Why product-first AI startups will dominate the next decade while model labs build the infrastructure they run on

Five concrete reasoning breakdowns from a Claude Code session and what they reveal about AI agent cognitive limitations.

Why the future belongs to agent orchestration, not faster typing.

The future of code liability isn't about who wrote it, but who operates it. Provable assurance beats authorship tracking.

Clear CLI documentation is your agent API. Vague help text costs 2x more in API calls and failed automations.

A thousand AI agents working on one codebase, sharing continuous memory and orchestrated intelligence.

Testing AI agents on CLI tools reveals chaos: 'vercel deploy' took 16-33 turns across runs with 40% success rate.

After shipping 50+ projects with AI agents, one pattern emerged: winners aren't the most powerful, they're the most agent-friendly

AI is dissolving the boundaries between roles, fundamentally changing who can create software and how quickly ideas become reality

Real-world insights from Sourcegraph's journey building AI coding agents that actually work.