Asking an LLM to 'write a blog post about this repo' produces boring corporate fluff. Here is why splitting research, style analysis, and drafting across specialized agents changes everything.

Pure JWTs cause revocation nightmares, while pure database tokens crush your database at scale. Here is how the Phantom Token Pattern gives you the best of both worlds at the API gateway.

Prompting an AI agent from scratch every session leads to inconsistent results. Here is why codifying workflows into version-controlled SKILL.md playbooks changes how we build with AI.

Handing an AI agent SSH keys and full shell access on a production server is an accident waiting to happen. Here is why zero-tool diagnostic agents are the safest way to automate server ops.

Behind the buzzwords and massive frameworks, an AI agent is just an LLM in a while loop. Here are the core conceptual lessons learned from building a minimal agent harness from scratch.

Delegating whole projects to AI agents works — until you lose track of what they actually did. Sprint Driven Development is the docs-first workflow that keeps every session planned, tracked, and portable across tools and models.

Turn repo setup knowledge into an executable skill for AI agents — so entering an unfamiliar repo stops being a Q&A marathon with the people who happen to know it.

If you code with Claude Code and juggle more than one profile or provider, keep each profile’s config separate — every profile gets its own environment, and multiple instances run without clashing.

Vibe coding makes everything look like it works — until you realize you don't understand what you just shipped. Here's the learning workflow that keeps AI as the teacher, not the author.