code-recap 1.0.3

Git activity analysis and LLM-powered summary tools for developers and consultants

Code Recap

Generate beautiful activity reports, client summaries, and blog posts from your git history—powered by LLMs.

What It Does

Code Recap helps developers and consultants who work across multiple repositories:

📊 Year-in-Review Reports — Generate polished summaries of your work for clients, complete with statistics, achievements, and technology breakdowns. Export as Markdown or HTML.

⏱️ Daily Time Logging — Quickly summarize what you worked on today (or any day) for billing and time tracking. No more digging through commits.

✍️ Blog Post Generation — Turn your commits into technical blog posts. The AI researches your changes and drafts content with real code examples.

📈 Activity Statistics — Track commits, lines changed, languages used, and coding streaks across all your projects.

🗂️ Multi-Client Organization — Automatically group repositories by client using pattern matching. Each client gets their own reports.

📝 Example Output

See what generated reports look like:

• Example HTML Report — Browse the styled HTML version
• Monthly summary (markdown)
• Annual client summary (markdown)

---

Use Cases

Year-end report with HTML

code-recap summarize 2025 --author "Your Name" --html --open
# → Reports saved to ./code-recap-2025/ (markdown + HTML)

Daily time logging

code-recap daily --author "Your Name" --date yesterday

Blog post from your commits

code-recap blog full "Building a Custom Protocol" --period 2025-Q3 --author "Your Name"

Multi-year statistics (CSV export)

code-recap stats 2020:2025 --author "Your Name" --granularity year --format csv

---

How It Works

Run code-recap from a directory containing git repositories:

~/Documents/Repos/           # Run code-recap here
├── project-a/               # Git repository (scanned)
├── project-b/               # Git repository (scanned)
├── side-project/            # Git repository (scanned)
└── code-recap-2025/         # Generated reports (created)
    ├── summary-2025.md
    └── html/
        └── index.html

No configuration needed for basic use. Just run the command and get a unified report.

For Consultants (Optional)

If you work with multiple clients, create a config.yaml to organize reports by client (see example config):

clients:
  "Acme Corp":
    directories:
      - "acme-*"           # Matches acme-firmware, acme-ios, etc.
  "Beta Inc":
    directories:
      - "beta-*"

This creates separate reports per client in code-recap-2025/acme_corp/, etc.

---

Quick Start

# Initialize (creates config, prompts for API keys, shows next steps)
uvx code-recap init

# Or set API key manually
export OPENAI_API_KEY='sk-...'

# Generate your year-in-review
cd ~/Documents/Repos
uvx code-recap summarize 2025 --author "Your Name" --html --open
# → Output: ./code-recap-2025/

That's it! Your reports open automatically in the browser.

Installation Options

# Run directly (no install)
uvx code-recap summarize 2025 --author "Your Name"

# Or install globally
uv tool install code-recap    # then use: code-recap summarize ...
pip install code-recap        # then use: code-recap summarize ...

Configuration (Optional)

For multi-client workflows:

code-recap init              # Creates config.yaml + API key files
# Edit config.yaml to define your clients

Or copy the full example with all options documented.

---

Recommended Models

Code Recap uses LiteLLM to support multiple LLM providers. Choose based on your needs:

Model	Command	Best For	Cost
GPT-4o-mini	--model gpt-4o-mini	Default choice, reliable and fast	~$0.15/year
Gemini 2.0 Flash	--model gemini/gemini-2.0-flash	Large codebases (1M context), very fast	~$0.05/year
Claude Haiku	--model anthropic/claude-3-5-haiku-latest	Best writing quality for summaries	~$0.30/year

Costs shown are approximate for summarizing 1 year of typical developer activity (~3000 commits).

# Examples
code-recap summarize 2025 --author "Your Name"                              # Uses default (GPT-4o-mini)
code-recap summarize 2025 --author "Your Name" --model gemini/gemini-2.0-flash
code-recap summarize --list-models                                           # See all available models

---

Command Reference

All functionality is accessed through the code-recap command with subcommands:

code-recap <command> [options]

Commands:
  summarize, report    LLM-powered activity summaries (main command)
  daily, today         Daily activity for time logging
  stats, activity      Statistics without LLM (text/markdown/CSV)
  html                 Convert markdown to HTML reports
  blog                 Generate blog posts from commits
  commits              List commits for a date
  deploy               Deploy HTML reports
  git, repos           Repository utilities (fetch, archive)

code-recap summarize — LLM-Powered Summaries

Generates narrative summaries of git activity using hierarchical LLM summarization.

code-recap summarize 2025 --author "Your Name"                    # All clients
code-recap summarize 2025 --author "Your Name" --client "Acme"    # Specific client
code-recap summarize 2025 --author "@company.com"                 # Match by email domain
code-recap summarize 2025 --author "Your Name" --html --open      # With HTML + open browser
code-recap summarize 2025 --author "Your Name" --dry-run          # Preview (no API cost)

Option	Description	Default
--granularity	Period breakdown (week/month/quarter/year)	month
--model	LLM model (see Recommended Models above)	gpt-4o-mini
--client	Filter to specific client	All clients
--max-cost	Budget limit in USD	1.00
--html	Also generate HTML reports	false
--open	Open HTML in browser (implies --html)	false
--dry-run	Preview without API calls	false

---

code-recap daily — Daily Time Logging

Generates concise summaries for a specific date—perfect for time tracking and billing.

code-recap daily --author "Your Name"                  # Today
code-recap daily --author "Your Name" --date yesterday
code-recap daily --author "Your Name" --date -2        # 2 days ago
code-recap daily --author "Your Name" --no-llm         # Just list commits

---

code-recap stats — Statistics & CSV Export

Generates detailed statistics with support for text, markdown, and CSV output.

code-recap stats 2025 --author "Your Name"
code-recap stats 2020:2025 --author "Your Name" --granularity year --format csv
code-recap stats 2025-Q3 --author "Your Name" --format markdown

Output includes: commit counts, line changes, per-language breakdown, per-project stats, active days, and coding streaks.

---

code-recap blog — AI Blog Post Generator

Two-stage pipeline: research commits first, then generate a polished blog post.

# Full pipeline
code-recap blog full "Building a Real-Time LED Controller" \
    --period 2025-09 --author "Your Name"

# Or step by step (allows editing research before writing)
code-recap blog research "My Topic" --period 2025-Q3 --author "Your Name"
code-recap blog write output/blog/my-topic/research.md

---

code-recap html — Branded HTML Reports

Converts markdown summaries to styled HTML reports with your company branding.

code-recap html                       # Generate all HTML reports
code-recap html --client "Acme"       # Just one client

---

code-recap commits — Daily Commit Log

Lists all commits for a specific date across all repositories.

code-recap commits 2025-01-03 --author "Your Name"
code-recap commits $(date +%Y-%m-%d) --author "Your Name"  # Today

---

code-recap git — Repository Management

Utilities for managing multiple repositories.

code-recap git fetch                      # Fetch all repos in parallel
code-recap git archive --days 365         # Archive inactive repos (dry run)
code-recap git archive --days 365 --execute
code-recap git unarchive my-project --execute

---

Configuration

Configuration is optional. For basic use, just run the scripts—no config needed.

For customization, create a template config:

code-recap init    # Creates config.yaml with commented examples

Or copy the full example with all options documented.

Client Configuration (config.yaml) — Optional

If you're a consultant working with multiple clients, configure project-to-client mapping:

clients:
  "Acme Corp":
    directories:
      - "acme-*"      # Matches acme-firmware, acme-ios, etc.
    exclude:
      - "*-legacy"    # Except acme-legacy (goes to Other)
  
  "Beta Inc":
    directories:
      - "beta-*"      # Matches beta-api, beta-frontend
  
  Personal:
    directories:
      - "dotfiles"    # Exact match
      - "my-*"        # Glob pattern

# Optional: assign unmatched projects to a default client
# default_client: Personal

Matching rules:

• directories: Glob patterns for repo directory names (supports *, ?, [seq])
• exclude: Patterns to exclude (takes precedence over directories)
• Use *keyword* for substring matching
• Matching is case-insensitive
• First match wins (order matters in YAML)
• Unmatched projects go to "Other"

Exclusion Patterns (excludes.yaml)

Configure files/directories to exclude from line count statistics:

# Global exclusions (apply to all projects)
global:
  - "*.hex"
  - "*/build/*"
  - "package-lock.json"

# Project-specific exclusions
projects:
  MyProject:
    - "vendor/*"
  AnotherProject:
    - "generated/*"

API Keys (config/keys/)

For LLM-powered scripts (summarize_activity.py, generate_blog_post.py), set API keys as environment variables:

# OpenAI
export OPENAI_API_KEY='sk-...'

# Anthropic
export ANTHROPIC_API_KEY='sk-ant-...'

# Google Gemini
export GEMINI_API_KEY='...'

Or create key files in config/keys/ and source them:

# Copy examples
cp -r config.example/keys config/keys

# Edit with your keys
nano config/keys/openai.sh

# Source all keys
source config/keys/all.sh

---

Installation

Using uv (Recommended)

cd ~/Documents/Repos/code-recap

# Install as a tool
uv tool install .

# Or run directly
uv run code-recap summarize 2024 --author "Your Name"
uv run code-recap stats 2024 --author "Your Name"
uv run code-recap commits 2024-01-15 --author "Your Name"
uv run code-recap git fetch

Using pip

cd ~/Documents/Repos/code-recap

# Install in development mode
pip install -e .

# Then run
code-recap summarize 2024 --author "Your Name"

Development

# Install with dev dependencies (includes ruff)
uv sync --dev

# Run linting
uv run ruff check .
uv run ruff format .

Dependencies

• Python 3.9+
• Git (command line)
• litellm (for summarize_activity.py and generate_blog_post.py)
• pyyaml (for configuration parsing)
• ruff (dev only, for linting)

---

Common Options

Most scripts share these options:

Option	Description	Default
--root	Root directory containing repos	Parent of cwd
--author	Filter commits by author	Required
--client	Client name for organizing outputs	(none)
--output-dir	Base output directory	output/
-o, --output	Explicit output file path	Auto-generated
--stdout	Write to stdout instead of file	false
--filter	Filter repos by name pattern	All repos
--no-fetch	Skip fetching before processing	Fetch enabled

---

License

MIT License - see LICENSE for details.