Entries tagged with: Agents

Let an agent discover a messy web UI flow once, then export the exact tool commands as a deterministic bash script.

10 principles that separate genuinely useful coding agents from flashy demos—and a north star spec for building them.

Most 'AI-native' tools are built with AI features. But what about tools designed FOR AI agents to use? Here's the playbook.

Building reliable agent tooling through loops, logs, and schemas.

What happens when you use AI tools so new they weren't in the training data.

I'm joining Steel as founding growth lead. The web is shifting from human clicks to agent-run workflows.

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

A comprehensive guide to 113 production-informed patterns for building reliable 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.

What hundreds of AI conversations taught me about effective agent workflows.

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.