Claude Code rules for a coding agent that stays grounded
Claude Code rules are project instructions. They tell a coding agent how to work inside a code repository. A CLAUDE.md or rules file can set priorities, protect files, name the checks that must pass, and say which sources the AI coding assistant may trust. To govern AI agents across real projects, those rules need to stay tied to approved sources as the code changes.
A rules file sets the boundary
A rules file turns your project's know-how into written instructions. CLAUDE.md, Cursor rules, repository policy or a system prompt can tell the coding agent which commands to run. It can say which files are off limits, and which source wins when two instructions clash. It can also say when missing facts should stop the work instead of inviting a guess.
That makes the agent more predictable. But a file is still only instructions. It can't prove it is current, or that it agrees with itself. Strong rules tie each important line to a source, say where it applies, and make conflicts visible. That is the difference between prompt advice and a real set of agent constraints.
Hand-written rules fail in familiar ways
A hand-written rules file starts to age the day the project changes. Packages update. Workflows change. Official docs get revised. Local exceptions pile up. Unless someone notices, the coding agent keeps following rules that look current but rest on old facts.
Conflicts are just as risky. A global system prompt can ask for one thing while project policy asks for another. With no check, the AI coding assistant may follow the newest or loudest rule and sound sure about it. That is agent drift. More detail does not fix it. Reliable guardrails check where each rule came from, what supports it, and whether it agrees with the official source.
We build the governance layer around your rules
Book a free 15-minute callConstance turns rules into verified constraints
Constance starts with a hard boundary: approved evidence and first-party rules. A claim does not get in because it sounds right. It must pass blind three-part verification: provenance, a supporting citation, and agreement with the canonical source. Claims that pass become verified building blocks that resist drift.
Define the evidence boundary
Start with approved evidence and first-party rules. The coding agent then has a clear boundary for every decision.
Verify every claim blind
A claim counts only after separate checks confirm where it came from, what supports it, and that it matches the canonical source.
Reuse only verified facts
Claims that pass become verified building blocks. Later work can use them without carrying old prompt leftovers forward.
Recheck changing authority
Official sources go in the authority registry. A time to live brings fast-changing evidence back for review.
Govern each client against its own authority
Governance gets hard when one in-house 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 official source has the final word.
Constance keeps those boundaries apart. Its authority registry records official sources and gives each a time to live when freshness matters. Teams reuse verified building blocks while each project stays grounded in its own approved evidence. Each client keeps its own constraints, risks and 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 project instructions for a coding agent. A CLAUDE.md or rules file can set project policy, protected files, required checks and source priority. It can also say what the agent does when facts are missing or instructions conflict.
Why is a well-written CLAUDE.md not enough?
Clear writing helps, but it doesn't prove a rule is current, official or consistent with other instructions. Code changes and local exceptions can leave a polished file built on old facts.
How does Constance verify agent constraints?
Constance sets the boundary from approved evidence and first-party rules. Before a claim counts, blind three-part verification checks its provenance, its supporting citation, and its agreement with the canonical source.
How can an agency govern different client repositories?
Tie each repository to its own approved evidence and constraint boundary. The authority registry records official sources. A time to live marks fast-changing sources that must come back for review.
We build the governance layer around your rules
We map the first-party rules and approved evidence your coding agent should follow. We set the constraint boundary and register the sources that carry authority. Constance checks each claim for provenance, citation and canonical-source agreement before it becomes a reusable building block. When fast-changing authority reaches its time to live, it comes back for review. You get a grounded operating layer, and your team doesn't become prompt librarians. Building an agent from scratch? Start with how to build an AI agent.