I want to build an AI agent -not a chatbot that answers questions, but an autonomous agent that actually does work. I want to pick a real workflow (code review, email triage, data pipeline monitoring, etc.), build an agent that handles it, and ship it to production in 30 days.
Plan for: Ship an AI Agent That Automates a Real Workflow in 30 Days
Claude might provide overly pedantic, noisy, or hallucinated code review comments, frustrating developers.
Use strict system prompts. Instruct Claude to only comment on critical issues and provide a 'Confidence Score' threshold before posting.
Large Pull Requests might exceed Claude's context window or GitHub API payload limits.
Implement a filter in your code to ignore auto-generated files (like package-lock.json) and truncate diffs if they exceed a certain token limit.
PaaS deployment may fail due to port binding issues or missing dependencies.
Ensure you have a requirements.txt or Pipfile, and use a standard production server like Uvicorn or Gunicorn bound to the $PORT environment variable.
Ready to make this plan yours?