documentation

WakaWiki is a Rust CLI that generates and keeps agent-facing documentation up to date for a codebase. It supports multiple model providers, a zero-LLM scan mode, incremental updates, and AGENTS.md integration, with CI-friendly GitHub Actions usage documented in the README.

OpenWiki is a CLI for generating and keeping agent-oriented documentation up to date for a codebase. The repo shows installation, init and update commands, interactive and one-shot usage, and support for multiple model providers.

Notula is a WYSIWYG Markdown editor for docs-as-code, built around repositories that AI agents and humans both edit. It supports comments, review threads, background git sync, and desktop apps for macOS and Windows.

CodeSummary turns GitHub repositories into AI-generated, reviewable living documentation and exposes the results to agents over MCP. It also hosts docs on custom domains and keeps them updated as code changes.

CLI for testing and improving documentation with simulated developer agents. It checks whether docs are clear enough for agents to complete real tasks, reports where they get stuck, and can generate proposed edits.

Google’s Gemini API guide for the latest models, with model comparisons, pricing, quickstarts, and migration notes for Gemini 3.6 Flash and 3.5 Flash-Lite.

Tecture helps coding agents write and maintain architecture docs directly in the repo, then lets teams explore them as interactive diagrams in VS Code or the browser.

An open-source MCP server that returns page-cited, verbatim evidence from embedded and firmware reference docs for coding agents.

Sightmap is an open YAML format and CLI for maintaining shared runtime context about a web app for AI agents. The repo includes the spec, reference Go implementation, docs, and agent skills for browser use and authoring.

Darby is a Hugo documentation theme with built-in in-browser AI Q&A, instant search, dark mode, and polished doc components for technical sites.

A Redis-focused documentation site with design patterns, command references, and LLM-friendly navigation for human developers and coding agents.

A file-backed workflow for resumable coding-agent projects, using Markdown records, a CLI, and bundled workflow skills to keep project state on disk instead of in chat.

A Vale style pack that lints prose for AI-like writing, inspired by ASD-STE100. It helps teams catch buzzwords, vague phrasing, self-praise, and other patterns in docs, comments, and agent-authored text.

OpenAI API documentation page for the GPT-5.6 Sol model, with links into model selection, pricing, reasoning, prompting, and SDK guidance.

A Pi extension that uses AI to generate and keep codebase documentation current, with commands for initial docs, incremental updates, and chat-based questions.

A survey of eight tools that sit between AI agents and the services they call, covering credential injection, interception, policy enforcement, and mocking/testing. The page explains what each tool is for, where it fits, and what to watch out for.

A Claude Code playbook for engineers who want to drive internal adoption on their team, with guidance on what to share, how to answer questions, and a 30-day rollout plan.

Machine-facing documentation for agentic DNS skills from DomainHelp, covering IP lookup, resolver detection, homoglyph checks, SPF flattening, and domain permutation tools, with entry points and API references.

Claude Code documentation for cross-session messaging between independent sessions on the same machine and across machines via Remote Control. It explains when to use it, how messages are delivered, and how session permissions affect delivery.

AI-powered requirements management workspace for systems engineering. DocuMan generates compliant technical documentation, builds trace links, creates live Mermaid diagrams, and flags suspect downstream links when requirements change.

A docs index page for Claude Code that maps the documentation structure and links to major sections like getting started, core concepts, tools, automation, and deployment.

Stripe’s llms.txt entry surfaces core docs, API reference, SDKs, webhooks, Checkout, Connect, and a note to always check the latest package version before installing.

A Topos case study showing how a guided refactor of a synthetic healthcare claims engine reduced token usage, wall time, and estimated cost for later Gemini feature sessions.

Official Google Search Central guidance for website owners on how to show up in generative AI features like AI Overviews and AI Mode. It covers SEO fundamentals, technical structure, local and ecommerce details, and what not to do.