Entries tagged with: AI

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.

Software is no longer a noun, it's a verb. Here's how to design for AI-native products where users shape outcomes.

The Bun acquisition isn't about M&A – it's about devtools becoming core AI infrastructure, not just SaaS above it.

Why the gap between AI demos and shipping AI is a reliability gap, not a capability gap.

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

Files ending in .md trigger automatic processing that breaks agent instruction files. Use dotfiles instead.

Analysis of AI search behavior reveals why some brands get cited while others disappear in AI-generated responses

How I built a dual-format delivery system serving identical content to humans and AI agents with no hidden restrictions.

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

Condensed wisdom from Marc Andreessen and Charlie Songhurst on winning the AI game over decades, not quarters

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

How AI coding agents democratized Chrome extension development, turning algorithm insights into shipped product overnight.

Running 100% autonomous AI agents in VMs to go from idea to implementation without touching a keyboard

How my AI coding partner and I obsessed over a nightclub bouncer optimization problem for one intense day

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.