pro@coder AI Pack Demo - Generate Doc

In this demo, we showcase how to generate structured documentation for a codebase using the AI Pack ProCoder, following a production-first approach.

Step-by-Step Setup

Install AI Pack CLI
Make sure you have Rust installed.

# Install AIPACK (aip command line)
cargo install aipack

# Install pro@coder
aip install pro@coder

This will install the prop@coder aipack at ~/.aipack-base/pack/installed/pro/code

🔑 Check Your API Keys

Ensure your environment has the necessary keys:

aip check-keys

🚀 Run pro@coder

aip run pro@coder

This launches the AI agent with a customizable prompt system. By pro@coder convention, prompts live in:

.aipack/.prompt/pro@coder/coder-prompt.md

🛠️ Configure the Prompt

• The prompt supports parameters via a toml code block.

• Set the model (e.g. gemini2-flash for fast/free or gmini2.5-pro for high quality).

• Write Mode:

  • Set to false to avoid file generation.

  • Set to true to enable the agent to write output files.

📂 Step 1: Generate Per-File Summaries

1. Set Working Globs (for parallel file processing):

...
# context_globs = ...

working_globs = ["web/content/**/*"]
working_concurrency = true
input_concurrency = 6
write = true

1. Prompt Example:

Can you summarize the working files? Save each file's summary in .doc/summary-<normalized-path>.md

1. Run the prompt (e.g., using R inside the ProCoder interface).

✅ Result: Summaries for each source file saved in .doc/.

📘 Step 2: Create a Consolidated Summary

1. Switch to Context Globs:

...

context_globs = [".doc/summary-*.md"]

# working_globs       = ["web-content/**/*.*"]
# working_concurrency = true
# input_concurrency   = 6

1. Prompt Example:

Can you summarize your context files and save the result in doc/summary.md

1. Run again with write = true.

✅ Result: A clean, full summary generated at doc/summary.md.

✨ Highlights

• Tiny Pack: ~9KB binary (pro@coder)

• Offline & Secure: Works with local keys, local models, or remote models.

• Highly concurrent: Up to 6 files processed at once.

• Any AI Models/Providers: Gemini, OpenAI, Anthropic, Ollama, Groq, xAI

• Production Practices: Modular, guided prompts and output control.

🧠 Pro Tips

• Use working globs for parallel processing.

• Use context globs for giving an hollistic context (both Working and Context globs can be combined)

• .gitignore Ignore, the `.*` for temporary output.

That’s it! With AI Pack pro@coder, you can turn any codebase into clean, structured documentation in no time, and much more.

Until next time—happy coding!