hypothesis-driven-debugging

0
0
Source

Investigate compiler failures, test errors, or unexpected behavior through systematic minimal reproduction, 3-hypothesis testing, and verification. Always re-run builds and tests after changes.

Install

mkdir -p .claude/skills/hypothesis-driven-debugging && curl -L -o skill.zip "https://mcp.directory/api/skills/download/7634" && unzip -o skill.zip -d .claude/skills/hypothesis-driven-debugging && rm skill.zip

Installs to .claude/skills/hypothesis-driven-debugging

About this skill

Hypothesis-Driven Debugging

A systematic, rigorous approach to debugging failures in the F# compiler codebase.

When to Use This Skill

Use this skill when:

  • Investigating test failures (unit tests, integration tests, end-to-end tests)
  • Debugging build errors or compilation failures
  • Analyzing unexpected runtime behavior
  • Troubleshooting performance regressions
  • Examining warning/error message issues

Core Principles

  1. Always start with a minimal reproduction
  2. Form multiple competing hypotheses
  3. Design verification for each hypothesis
  4. Document findings rigorously
  5. Re-run builds and tests after every change

Process

Step 1: Create Minimal Reproduction

Before forming hypotheses, create the smallest possible reproduction:

  1. Extract the failure:

    # For test failures - run just the failing test
    dotnet test -- --filter-method "*YourTest*"
    
    # For build failures - try to isolate the problematic file
    # Create a minimal .fs file that reproduces the issue
    
  2. Reduce to essentials:

    • Remove unrelated code
    • Simplify to the core issue
    • Verify the minimal case still fails
  3. Document the repro:

    ## Minimal Reproduction
    
    File: test-case.fs
    Command: dotnet test -- --filter-method "*TestName*"
    Expected: <expected behavior>
    Actual: <actual behavior>
    

Step 2: Form 3 Hypotheses

Always form at least 3 competing hypotheses about the root cause:

## Hypothesis 1: [Brief description]
**Theory**: The failure occurs because...
**How to verify**: Run/change X and observe Y
**Verification result**: [To be filled]
**Implications**: If true, this means...

## Hypothesis 2: [Brief description]
**Theory**: The failure occurs because...
**How to verify**: Add instrumentation/logging at point Z
**Verification result**: [To be filled]
**Implications**: If true, this means...

## Hypothesis 3: [Brief description]
**Theory**: The failure occurs because...
**How to verify**: Check assumption A by running test B
**Verification result**: [To be filled]
**Implications**: If true, this means...

Step 3: Verification Methods

For each hypothesis, use one or more verification methods:

Code Instrumentation

// Add temporary debugging output
printfn "DEBUG: Value at checkpoint: %A" someValue
printfn "DEBUG: Entering function X with args: %A %A" arg1 arg2

Minimal Test Cases

// Create focused test to verify specific behavior
[<Test>]
let ``Hypothesis 1 verification test`` () =
    let result = functionUnderTest input
    result |> should equal expectedValue

Build with Different Flags

# Try different configurations
./build.sh -c Debug
./build.sh -c Release

# Compare outputs
diff debug-output.log release-output.log

Targeted Logging

# Enable verbose logging for specific component
export FSHARP_COMPILER_VERBOSE=1
dotnet build

Step 4: Document Findings

Maintain a HYPOTHESIS.md file in the working directory:

# Hypothesis Investigation

## Issue Summary
Brief description of the failure/bug being investigated.

## Minimal Reproduction
[Code/commands to reproduce]

## Hypotheses

### Hypothesis 1: Token position tracking issue
**Theory**: The warning check compares line numbers but lastNonCommentTokenLine is not being updated correctly.
**How to verify**: Add printfn debugging in LexFilter.fs to log every token and its line number.
**Verification result**: ✅ CONFIRMED - Logging showed LBRACE tokens were updating the tracking when they shouldn't.
**Implications**: Need to exclude LBRACE and potentially other structural tokens from tracking.

### Hypothesis 2: Lexer pattern matching order
**Theory**: The /// pattern might be matched after other patterns, losing context.
**How to verify**: Check lex.fsl pattern order and add logging in the /// rule.
**Verification result**: ❌ DENIED - Pattern order is correct; /// is matched specifically.
**Implications**: Issue is not in the lexer pattern matching.

### Hypothesis 3: Test expectations wrong
**Theory**: The test expectations might not match actual compiler behavior.
**How to verify**: Manually compile test code and check actual warning positions.
**Verification result**: ⚠️ PARTIAL - Some tests had wrong expectations, but underlying issue still exists.
**Implications**: Fixed test expectations, but still need to address token tracking.

## Resolution
[Final solution and verification]

## Lessons Learned
- What worked well
- What to do differently next time
- Patterns to remember

Step 5: Critical - Always Re-run Tests

ABSOLUTELY REQUIRED: After implementing any fix:

  1. Build from scratch:

    ./build.sh -c Release
    # Record: Time, exit code, number of errors
    
  2. Run affected tests:

    # For targeted testing
    dotnet test -- --filter-class "*AffectedTestSuite*"
    
    # Record: Passed, Failed, Skipped, Time
    
  3. Verify the fix:

    • Run the minimal reproduction - confirm it passes
    • Run related tests - confirm no regressions
    • Build the full project - confirm no new errors
  4. Document results:

    ## Verification Results
    
    Build:
    - Command: ./build.sh -c Release
    - Time: 4m 23s
    - Errors: 0
    
    Tests:
    - Command: dotnet test -- --filter-class "*XmlDocTests*"
    - Total: 61
    - Passed: 56
    - Failed: 0
    - Skipped: 5
    - Time: 2.1s
    
    Minimal Repro:
    - Status: ✅ PASSING
    

Example Workflow

# 1. Observe failure
dotnet test -- --filter-class "*XmlDocTests*"
# Result: 15 tests failing

# 2. Create minimal repro
cat > test-case.fs <<EOF
type R = { /// field doc
    Field: int
}
EOF
dotnet fsc test-case.fs
# Observe: Warning FS3879 incorrectly triggered

# 3. Form hypotheses (in HYPOTHESIS.md)
# - H1: LBRACE token incorrectly tracked
# - H2: Lexer pattern issue
# - H3: Test expectations wrong

# 4. Verify H1
# Add: printfn "DEBUG: Token %A at line %d" token lineNum
./build.sh -c Release && dotnet test ...
# Result: Confirms LBRACE is being tracked

# 5. Implement fix
# Exclude LBRACE from tracking in LexFilter.fs

# 6. CRITICAL: Re-run everything
./build.sh -c Release
# 4m 44.9s, 0 errors

dotnet test -- --filter-class "*XmlDocTests*"
# 61 total, 56 passed, 0 failed, 5 skipped, 2s

# 7. Verify minimal repro
dotnet fsc test-case.fs
# No warning - ✅ FIXED

# 8. Update HYPOTHESIS.md with results
# 9. Commit with evidence

Anti-Patterns to Avoid

Don't:

  • Skip the minimal reproduction
  • Form only one hypothesis
  • Make changes without verification
  • Forget to re-run tests after fixes
  • Claim "fixed" without build evidence

Do:

  • Start with smallest possible repro
  • Consider multiple explanations
  • Verify each hypothesis systematically
  • Always re-run build and tests
  • Document commands, timings, and results

Integration with Development Workflow

After using this skill:

  1. Clean up temporary debugging code
  2. Remove or archive HYPOTHESIS.md
  3. Update documentation with lessons learned
  4. Add regression tests if appropriate
  5. Consider whether findings reveal deeper issues

References

You might also like

flutter-development

aj-geddes

Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.

9521,094

drawio-diagrams-enhanced

jgtolentino

Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.

846846

ui-ux-pro-max

nextlevelbuilder

"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."

571699

godot

bfollington

This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.

548492

nano-banana-pro

garg-aayush

Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.

673466

fastapi-templates

wshobson

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

514280

Stay ahead of the MCP ecosystem

Get weekly updates on new skills and servers.