Project Description
I have an in-house AI agent that triggers k6 load test based on github push or github webhook events , but it still misses two critical situations: Identifying code updates and new feature additions and update the scripts or create new scripts , I need that gap closed. Your task is to create a new agent so it watches a codebase , create k6 , loadrunner, selenium scripts for new functionality or update exiting scripts to add new functionality .let the implementation be Python only Once a change is spotted the agent must automatically adjust our existing automation and performance test scripts, regenerating or patching them so CI runs green without manual edits. The current pipeline is circleci -based with k6 and loadrunner for performance checks; hooks are already in place, they just need smarter input from the agent.
Deliverables
1. New agent code with clear comments.
2. Detection logic covering the scenarios above, demonstrated with sample PRs.
3. Code should be run locally without pushing to github first for internal demo , then for production version it should be through github and cicd pipeline
4. A concise README explaining setup plus a one-command demo.
5. code walkthrough through anydesk
Acceptance will be based on a pull request against a staging branch, where your agent must detect a simulated library upgrade and a small feature file, then update the functional tests and performance scripts so all pipelines pass.