Claude Code rules for a coding agent that stays grounded
Claude Code rules are project instructions that tell a coding agent how to work inside a repository. A CLAUDE.md or rules file can set priorities, protect files, name required verification, and explain which evidence the AI coding assistant may trust. To govern AI agents across real projects, teams need constraints that stay tied to approved sources as the codebase and its context change.
A rules file defines the operating boundary
Rules files turn context engineering into repository-level instructions. CLAUDE.md, cursor rules, repository policy, or a system prompt can tell the coding agent which commands to run, which areas are protected, and which source wins when instructions conflict. They can also state when missing evidence should stop the work instead of inviting a guess.
That makes the agent more predictable, but a document is still only an instruction layer. It does not prove its own authority, freshness, or internal consistency. Strong agent constraints connect each important rule to a source, declare its scope, and make conflicts visible. That is the difference between prompt guidance and a usable constraints engine for LLM grounding.
Hand-written rules fail in familiar ways
A hand-written rules file begins aging as soon as the surrounding system changes. Dependencies move, workflows change, and first-party documentation is revised. Local exceptions accumulate. Unless someone notices and updates the file, the coding agent keeps receiving instructions that look current but rest on stale assumptions.
Contradictions are just as dangerous. A global system prompt can require one behavior while project policy requires another. Without verification, the AI coding assistant may follow the newest or loudest instruction and present the result with confidence. That is agent drift. More detail does not solve it. Reliable guardrails test provenance, citation, and agreement with the canonical source.
Constance turns rules into verified constraints
Constance starts with a hard boundary: approved evidence and first-party rules. A claim does not enter that boundary because it sounds reasonable. It must pass blind three-part verification of provenance, supporting citation, and canonical-source agreement. Claims that pass become verified building blocks that resist drift.
Define the Evidence Boundary
Start with approved evidence and first-party rules, so the coding agent has a clear boundary for every decision.
Verify Every Claim Blind
Count a claim only after separate checks confirm its provenance, supporting citation, and agreement with the canonical source.
Reuse Only Verified Facts
Turn claims that pass into verified building blocks, ready for later work without carrying prompt residue forward.
Recheck Changing Authority
Record official sources in the authority registry and use a time to live to bring volatile evidence back for review.
Govern each client against its own authority
Agency governance gets difficult when one internal standard meets many client repositories. Copying the same CLAUDE.md everywhere also copies hidden assumptions. Over time, teams lose track of what is shared policy, what belongs to one client, and which first-party source has final authority.
Constance keeps those boundaries separate. Its authority registry records official sources and applies a time to live when freshness matters. Teams can reuse verified building blocks while each project remains grounded in its own approved evidence. That gives agencies repeatable governance without pretending every client has the same constraints, risk, or context.
- Keep approved evidence explicit for every repository.
- Separate shared policy from client-specific agent constraints.
- Require verification before claims shape agent behavior.
- Review volatile authority when its time to live expires.
What to settle before agents touch the code
What are Claude Code rules?
They are repository instructions for a coding agent. A CLAUDE.md or rules file can define project policy, protected files, required checks, source priority, and what the agent should do when evidence is missing or instructions conflict.
Why is a well-written CLAUDE.md not enough?
Clear writing improves the instruction layer, but it does not prove that a rule is current, authoritative, or consistent with other instructions. Repository changes and local exceptions can leave a polished file grounded in stale assumptions.
How does Constance verify agent constraints?
Constance defines the boundary from approved evidence and first-party rules. Before a claim counts, blind three-part verification checks its provenance, supporting citation, and agreement with the canonical source.
How can an agency govern different client repositories?
Keep each repository tied to its own approved evidence and constraint boundary. The authority registry records official sources, while a time to live identifies volatile authority that must return for review.
Done For You Agent Governance
We build the governance layer around your rules
We map the first-party rules and approved evidence your coding agent should follow, define the constraint boundary, and register the sources that carry authority. Constance verifies claims against provenance, citation, and canonical-source agreement before they become reusable building blocks. When volatile authority reaches its time to live, it returns for review. You get a grounded operating layer without turning your team into prompt librarians.