Entries tagged with: AI

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.

AI excels at generating working code, but sustainable software requires strategic human intervention.

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

Traditional SaaS growth tactics fail with AI dev tools. Here's why you need to throw out the playbook.

Turn your phone into a powerful coding workstation with Claude Code running in your homelab VM

How transformative technologies follow a 20-year adoption cycle, and why AI represents a fundamental departure from this pattern.

How the llm-loop-plugin transforms AI from a responsive tool into an autonomous agent that iterates until done.

How AI transformed an entire research project from conception to arXiv publication in just 2 days of FTE.

When AI solves one constraint, it reveals the next. What bottleneck will emerge when coding stops being the limitation?

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.