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To enforce contract adherence during AI development cycles, use a workflow automation skill that strictly follows instructions defined in project contract files. It initiates a managed cycle of planning, implementation, and verification to ensure alignment with established quality standards.

An AI development cycle bootstrapper is a workflow automation process that initiates and manages strict protocol following, automated testing, and code quality checks. You need one when starting new AI feature development to prevent regressions and maintain high code quality.

To start a development cycle using a project contract, trigger the workflow skill to read the contract file and plan the next steps. It automatically manages code implementation, runs tests, and executes code analysis to verify quality.

Yes, you can use workflow automation to run automated testing and code analysis for AI agents. The process manages the entire development cycle, executing defined workflows that apply strict protocol following and verify code quality against project contracts.

AI development cycle automation requires a project contract defined in a markdown file, specifically located at docs/ai/contract.md. This file contains the instructions, language rules, and interaction protocols that the workflow strictly follows during implementation.

Automated workflows fail to maintain code quality when the development cycle lacks strict contract adherence and defined verification steps. Implementing a bootstrapper that enforces planning, automated testing, and code analysis prevents regressions and ensures protocol compliance.