[unitaryDESIGN] Documentation Improvement for AI Agents

[aarontrowbridge]

Description

Improve documentation across Piccolo.jl (and particularly its plotting/visualization components) to be more AI-agent-friendly. This means ensuring docstrings, examples, and guides are structured so that AI coding assistants (Copilot, Cursor, Claude, etc.) can effectively help users write visualization code.

Bounty: $50

Why it matters

Developers increasingly use AI assistants to write code. Well-structured documentation with clear examples, type signatures, and usage patterns makes it dramatically easier for AI tools to generate correct Piccolo.jl code — lowering the barrier to entry for new users.

Relevant code & references

• Visualization guide — Current plotting documentation
• PiccoloMakieExt.jl — Visualization extension with animation functions
• plot_unitary_populations — Example of a well-documented function (good template to follow)
• state_populations.jl — Another visualization function
• Piccolo.jl docs — Current documentation site

Scope

In scope:

• Add or improve docstrings for visualization functions with complete examples
• Ensure each public function has: description, argument types, return type, and a runnable example
• Add a CONTEXT.md or llms.txt file summarizing the visualization API for AI agents
• Improve the visualization guide with more complete, copy-pasteable examples

Out of scope:

• Rewriting non-visualization documentation
• Changing function signatures or behavior

[lmee]

I went through "[unitaryDESIGN] Documentation Improvement for AI Agents" and reviewed the complete issue discussion. The core problem appears to be: Improve documentation across Piccolo.jl (and particularly its plotting/visualization components) to be more AI-agent-friendly . This means ensuring docstrings, examples, and guides are structured so that AI coding assistants (Copilot, Cursor, Claude, etc.) can effectively help users write visualization code. My root-cause hypothesis is missing conversion/lowering coverage for the target op path, plus incomplete edge-case validation. My plan is to build a deterministic failing case in the current conversion/lowering pipeline, implement the missing op mapping and validation path, then add IR/kernel regression coverage with a concise perf/compat note. I can start right away and keep the first patch scoped for fast review. Best, Jerry Li

[ahkatlio]

Hello, I have submitted a PR, please check

[jack-champagne]

Hello, I have submitted a PR, please check

Left some comments! Feel free to ping me if you have any questions!

[ahkatlio]

Hello, I have submitted a PR, please check

Left some comments! Feel free to ping me if you have any questions!

Hello, I have changed the files according to your suggestion. Please, check.