Build Your AI Context System
Generate a project-ready CLAUDE.md, see your context maturity level, and leave with the next changes worth making.
- Output
- CLAUDE.md starter
- Assessment
- 5 maturity levels
- For teams
- Profile template
Build your starter kit
Three answers, concrete output
- 1 Your Profile
- 2 Current Setup
- 3 Tech Stack
Your context maturity
Level 1: Starter
The system behind the file
Context engineering is a feedback loop
Start with one project contract, separate what changes independently, adapt it to the work, then check whether the instructions still help.
- 1
CLAUDE.md as a contract
Define the project, its structure, and the rules that apply to every session.
Write a focused CLAUDE.md - 2
Modular rules
Move focused instructions into files that can be maintained and scoped independently.
Structure context modules - 3
Role profiles
Assemble different context for frontend, backend, platform, and staff-level work.
Explore AI engineering roles - 4
CI feedback
Detect stale rules, test adherence, and feed useful findings back into the system.
Close the context feedback loop
A practical progression
Five context maturity levels
The configurator highlights your starting point. The useful move is the next level, not the highest label.
- L1
Starter
Single CLAUDE.mdNo rules files or @imports Β· Basic or no structure
- L2
Modular
Rules extracted to separate filesPath-scoping with @imports Β· Organized sections
- L3
Team-Ready
Profile-based assembly for team membersCI drift detection running Β· Shared module library
- L4
Measured
Self-evaluation runs quarterlyCanary checks in CI Β· Adherence tracked per rule
- L5
Adaptive
Knowledge feeding loop activeACE pipeline (Assemble, Check, Execute) Β· Automated context feedback