// Writing
sudo make me a blog.
DevAgentOps runs LLM agents inside CI/CD with hard gates: analyze role-based use cases/stories, write testable acceptance criteria and verify for contradictions/gaps; design by mapping features to modules, planning, modeling (formal checks where possible), refining to implementation-ready specs, and creating reverse prompts; implement via human-piloted agent coding plus agent review, MR, unit/integration/E2E/role tests, then manual merge - validate behavior and loop back with evidence
The faster we move, the more we need the discipline we abandoned to move fast. Agentic Safety-Critical Development embeds AI agents at every stage — verifying before, validating after, and throwing back errors upstream instantly. This is not slower Agile. This is Agile grown up.
A developer's experiment in giving Claude Code an impossible task, and the surprisingly human way it solved it.
Bloated OS abstraction layers are legacy debt — it's time to replace at least the filesystem with knowledge-driven design.