Semcheck: The AI-Powered Solution for Perfect Code-Documentation Sync
Why Do Your Code and Documentation Always Drift Apart?
Every developer faces these frustrating scenarios:
-
Updating function logic but forgetting to adjust documentation -
New team members causing errors by following outdated API docs -
Discovering implementation-design mismatches during code reviews -
Perpetual “update documentation” tasks in technical debt logs
Specification drift lies at the heart of these problems. Traditional manual checks are time-consuming and error-prone. Enter Semcheck – an AI-powered tool that automates specification compliance, making code-documentation synchronization reliable and effortless.
What Exactly Is Semcheck?
Semcheck is a lightweight CLI tool built with Go that uses Large Language Models (LLMs) to automatically verify alignment between code implementations and specification documents. Its core value proposition:
✅ Real-time change detection – Triggers checks when specs or code change
✅ Multi-model support – Works with OpenAI/Anthropic/local LLMs
✅ Seamless integration – Fits perfectly into Git pre-commit hooks and CI/CD pipelines
✅ Precision targeting – Pinpoints exact locations of spec-implementation mismatches
Like the famous Office meme: “Corporate needs you to find the difference between these pictures – Semcheck declares: They’re identical!”
How It Works: The Technical Breakdown
Three-Layer Architecture
graph TD
A[Config File] --> B(File Processor)
C[Code/Docs] --> B
B --> D[AI Comparison Engine]
D --> E[Validation Report]
-
Configuration Layer (semcheck.yaml)
Defines rules linking implementation files with specifications:rules: - name: "geoJSON-validator" files: include: "src/geojson/*.ts" # Implementation files exclude: "*_test.ts" specs: - path: "https://www.rfc-editor.org/rfc/rfc7946.txt" # Online spec
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Intelligent Matching Engine
Automatically categorizes files into:-
Specification files (Spec) -
Implementation files (Impl) -
Ignored files (via .gitignore)
-
-
AI-Powered Comparison Core
Performs contextual analysis:func ValidateCompliance(specContent, implContent string) (bool, string) { prompt := fmt.Sprintf("Compare specification: %s\nWith implementation: %s", specContent, implContent) return aiClient.Process(prompt) }
Getting Started in 5 Minutes
Installation Guide
# Install Go 1.24+ environment
brew install go
# Install Semcheck
go install github.com/rejot-dev/semcheck@latest
Initial Configuration
semcheck -init # Generates semcheck.yaml
Sample Configuration
version: "1.0"
provider: anthropic
model: claude-3-opus
api_key: ${ANTHROPIC_API_KEY} # Reads from environment variables
rules:
- name: config-validation
files:
include: "internal/config/*.go"
specs:
- path: "docs/config-spec.md"
Execution Commands
# Validate all rules
semcheck
# Check specific files only
semcheck src/utils.go
# Pre-commit validation (recommended!)
semcheck --pre-commit
Real-World Implementation Scenarios
Scenario 1: API Interface Modifications
When updating OpenAPI documentation:
paths:
/user:
get:
- summary: Retrieve all users
+ summary: Query active users
Semcheck automatically flags corresponding controller code requiring updates.
Scenario 2: RFC Standard Compliance
Ensure code meets latest RFC standards:
specs:
- path: "https://www.rfc-editor.org/rfc/rfc9110.txt" # HTTP/1.1 spec
Scenario 3: Team Collaboration Safeguard
Automated PR checks via GitHub Actions:
jobs:
semcheck-validation:
steps:
- uses: rejot-dev/semcheck@main
with:
config-file: semcheck.yaml
env:
ANTHROPIC_API_KEY: ${{ secrets.API_KEY }}
Technical Advantages Explained
Comparison with Traditional Methods
Validation Method | Accuracy | Speed | Maintenance Cost |
---|---|---|---|
Manual Review | Medium | Low | High |
Unit Tests | High | Medium | High |
Semcheck | High | High | Low |
Intelligent Processing Capabilities
-
Context Filtering – Automatically ignores test files (*_test.go) and comments -
Precision Targeting – Identifies discrepancies at function level -
Batch Processing – Concurrent rule validation for maximum efficiency
Developer Best Practices
Optimal Configuration
# Performance tuning tips
timeout: 45 # Timeout in seconds
fail_on_issues: true # Halt pipeline on errors
# Custom validation instructions
prompt: |
Validate only implemented features, ignore TODO markers
Debugging Techniques
# Enable debug mode
SEMCHECK_DEBUG=1 semcheck
# Self-validation example
semcheck specs/semcheck.md # Validate its own specification
Performance Optimization
-
Limit to ≤5 files per rule (reduces AI context load) -
Use local LLMs (Ollama) to eliminate network latency -
Leverage --pre-commit
for staged files only
Frequently Asked Questions
Q: Does this expose proprietary code?
No. Semcheck supports local models (Ollama) for sensitive codebases. Cloud APIs receive only relevant snippets.
Q: How to handle large codebases?
Implement modular rules:
rules:
- name: authentication-module
files: pkg/auth/*.go
specs: docs/auth-spec.md
- name: payment-module
files: pkg/payment/*.go
specs: docs/payment-spec.md
Q: What about false positives?
Calibrate using custom prompts:
prompt: |
Note: Our implementation uses snake_case convention,
camelCase in RFC docs is not an error
Future Development Roadmap
Upcoming features per development plan:
journey
title Semcheck Evolution Timeline
section 2024 Q3
Local LLM optimization --> Rule grouping
section 2024 Q4
Issue traceability --> Enhanced GitHub Actions
Start Using Semcheck Today!
Three-step implementation:
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Install: go install github.com/rejot-dev/semcheck@latest
-
Configure: semcheck -init
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Add pre-commit hook: # .git/hooks/pre-commit #!/bin/sh semcheck --pre-commit || exit 1
Technical debt accumulates silently, but specification drift can be stopped automatically. Make Semcheck your codebase’s specification guardian.