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Standardize planning, memory, verification, and review across AI coding agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ai-devkit" yet — see the docs or source repo.
Using ai-devkit, design a unified engineering workflow for my AI coding agents, including task planning, long-term memory, code verification, reusable skills, and final review, and provide configuration recommendations.
A reusable agent workflow design describing stages, responsibilities, execution order, and key configuration points.
Show me how to use ai-devkit to add automated verification and review to an existing code repository, covering test execution, style checks, result logging, and rollback suggestions on failure.
Integration steps and process guidance for an existing repository so agents can enforce quality before submission.
Use ai-devkit to plan a team-level AI coding skill library, defining common task templates, memory rules, verification checklists, and review standards for reuse across different agents.
A reusable team skill library and rules framework that lets multiple agents follow the same development standards.
Provide persistent, verified memory and guardrails for AI coding agents.
Equip AI coding agents with production-ready engineering and delivery skills.
Reusable skills for AI coding assistants to speed coding and debugging tasks.
Analyze codebases and generate AGENTS.md files for AI coding agents.
Keep AI coding agents architecture-aware, verified, drift-checked, and safer over long tasks.
Design AI-first engineering processes, architecture, reviews, and testing standards for teams.