AI development, engineering management, communities.
Claude Code or Codex, Cursor or Hermes Agent: where the agent runs, what it sees, which model it thinks with and what it costs — five harnesses side by side and which one to pick for the task. With links to the docs.
A 30-minute call script, rules for staying on topic, a short company-wide questionnaire, interview analysis with ChatGPT or an agent using a ready prompt, and a said-versus-measured check against the report data.
How to find out how employees use ChatGPT Enterprise: five admin console exports turn into adoption depth, uniformity across teams, main tools, a task map, data checks and an interview shortlist.
The mistake-to-rule loop, guides and sensors, three layers of checks, how it fits with specs, and five first steps in your own project.
What to do when an answer misses: three paths and a repeated loop. How review finds gaps, why they go into the original request and the pipeline runs again. Based on Anthropic, OpenAI and Google guides.
Spec-driven development with a reconcile loop: who changes the desired state and who brings the code to it, why green tests do not yet mean “correct”, and which six environment capabilities the agent needs to close the loop.