Your coder profile for vibe coding with Claude, Cursor, and Codex
Capture your real engineering style once, then reuse it across AI coding tools with consistent output and fewer rewrites.
profile.preview.json
{
"naming": { "function_style": "verb-noun" },
"architecture": { "file_organization": "by-feature" },
"errors": { "validation_approach": "result-type" },
"testing": { "coverage_goal": "pragmatic" },
"style": { "function_length": "medium" },
"types": { "strictness": "strict-pragmatic-any" }
}Understand CoderProfile in 30 seconds
What this is
CoderProfile turns your real coding preferences into a reusable profile and ready-to-use context files for AI coding tools.
Why developers use it
It reduces prompt drift, gives more consistent output style, and saves time on rewrites across Claude, Cursor, and Codex.
What you get
A structured profile plus export files like CLAUDE.md, .cursorrules, AI-INSTRUCTIONS.md, and coderprofile.json.
Quick start for developers
Run the quiz
Choose Quick (15), Detailed (25), or Deep (35), then select code examples matching your real style.
Optionally scan a repo
Add a public GitHub repository to enrich your profile with architecture and stack signals.
Export and plug into tools
Download the bundle and use it as context in Claude, Cursor, and Codex for consistent generation.
Use one profile across Claude, Cursor, and Codex
Long agent sessions
Best for multi-step feature work where architecture and coding boundaries must stay stable.
Context files: CLAUDE.md, coderprofile.json
Result: More consistent task planning, cleaner diffs, fewer style resets between prompts.
In-editor generation
Best for autocomplete, inline edits, and fast refactors aligned with your naming and type conventions.
Context files: .cursorrules, coderprofile.json
Result: Higher first-pass accuracy for code suggestions and less manual cleanup.
Automation workflows
Best for scripted agent runs, repeatable code transformations, and CI-like coding pipelines.
Context files: AI-INSTRUCTIONS.md, coderprofile.json
Result: Reduced prompt drift across runs and more predictable output shape.
One profile. Multiple AI tools.
Keep coding output aligned across prompts, agents, and editors.
Opinionated Quiz
Choose Quick (15), Detailed (25), or Deep (35). Every choice maps into a concrete engineering preference model.
Repository Fingerprint
Scan a public GitHub repository to extract language, framework, and architecture signals with confidence.
Structured Profile
Get a category-based profile across naming, architecture, errors, testing, style, and type safety.
Ready-to-Use Bundle
Export CLAUDE.md, .cursorrules, AI-INSTRUCTIONS.md, and coderprofile.json as a downloadable ZIP.
Ready to define your coding identity?
Start with quiz-only for immediate signal, then add repository scan to increase precision and reduce tool drift.
• Faster prompt setup with reusable context files
• More consistent AI output across tools and sessions
• Category-level visibility into coding preferences
Suggested flow
1. Pick quiz depth and complete all questions
2. Optionally scan a public repository
3. Review merged profile and export bundle