Research Note

Coding Agent Instruction Placement Framework

An instruction file is context, not enforcement. Put a constraint in the weakest layer that remains reliable enough for its consequence.

Aug 4, 20262 min readBy Dalton Anderson
In this article

Coding Agent Instruction Placement Framework

Placement principle

An instruction file is context, not enforcement. Put a constraint in the weakest layer that remains reliable enough for its consequence.

ConstraintDurable layerWhy
Repeated workflow or codebase conventionScoped project ruleHelps the agent find the expected path
One task's outcome and exclusionsTask plan or promptKeeps temporary scope out of global rules
Architecture decisionVersioned decision record and code structurePreserves rationale for people and tools
Formatting requirementFormatter or linterAutomatically detects violations
Required behaviorTest, type, schema, or invariantTurns prose into executable evidence
Access restrictionPermission, sandbox, policy, or approvalPrevents rather than requests
Release requirementCI gate and protected workflowKeeps acceptance independent from generation

Rule-writing method

Collect repeated corrections from real work. Remove preferences that do not change outcomes. Write one rule around one scope. Include the command to run, the canonical file or example, and the evidence expected after a change.

Reference canonical files instead of copying long style guides. Version project rules with the repository. Test them on a representative task and inspect whether they were actually applied.

Current Cursor boundary

Cursor's January 2026 guide describes static rules in .cursor/rules/ and advises teams to keep them focused, reference canonical examples, avoid copying whole style guides, and add rules after repeated mistakes appear.

Format and product behavior can change. The broader placement principle remains product-neutral.

Failure modes

A large rule file becomes stale and consumes useful context. Vague directions such as "write high-quality code" are not testable. Security restrictions written only as prose can be ignored. Conflicting instructions create ambiguity instead of control.

Move enforceable requirements into code, tests, schemas, permissions, CI, or policy.

Sources

Follow the evidence.

  1. daltonanderson.net: how i built a go app in 4 hours with cursor aidaltonanderson.net
  2. owasp.org: www project top 10 for large language model applicationsowasp.org
  3. go.dev: getting startedgo.dev
  4. csrc.nist.gov: finalcsrc.nist.gov
  5. cursor.com: auto reviewcursor.com
  6. daltonanderson.ghost.io: how i built a go app in 4 hours with cursor aidaltonanderson.ghost.io
  7. cursor.com: 1 7cursor.com
  8. Spotify episodeopen.spotify.com
  9. cursor.com: teamscursor.com
  10. youtu.be: n4 J1tDwreMyoutu.be
  11. owasp.org: www project code review guideowasp.org
  12. cursor.com: privacycursor.com
  13. cursor.com: securitycursor.com
  14. slsa.dev: v1.2slsa.dev
  15. git-scm.com: v2git-scm.com
  16. cursor.com: agent best practicescursor.com
  17. cursor.com: data usecursor.com

From this episode

Two useful next steps.

Guide · 1 min

How to Write Project Rules for an AI Coding Agent

Write concise, scoped, versioned rules for AI coding agents, then move behavior, formatting, access, and release requirements into stronger enforceable controls.

Guide · 1 min

How to Review AI-Generated Code Before Accepting It

A rigorous review method for AI-generated code covering intent, scope, interfaces, tests, security, dependencies, operations, provenance, ownership, and rollback.

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Coding Agent Instruction Placement Framework