C

claude-ai

Yana AI 🐰 One runtime. Any AI. Human-governed. A local-first, cross-platform system for running, connecting, orchestrating, and governing AI — with deterministic control over what it can access, change, and execute. Your AI can act. But who decides how far it can go? yana.vutam.link

When AI agents build software, the architecture is what they build from. If it is unclear, out of date, or buried under its own history, an agent builds the wrong thing quickly and confidently. A person reviewing the work cannot tell either, because they cannot find what the design says.

This guide shows how to keep a system's architecture as a context that people and agents can both read, trust, and change. It works at the scale of one person with an AI, and grows with a team.

What you get from it:

Architecture documents a person can read, because each says what is true now before how it came to be. Decisions that can be found, because every ruling has a number and a home, whoever made it. Changes that leave a trail, from the builder who found a problem to the decision and back to the code. An architect's body of knowledge behind it: the guide reflects the principles of IASA, the International Association of Software Architects.

The guide is being built in the open. Its patterns are usable now, and the gaps it knows about are listed in the BTABoK map and in its tasks.

An AI assistant forgets everything between sessions, and real product work takes weeks. This guide closes that gap. It shows you how to keep a context project: a small, private repository holding what your assistant needs to know about your product. Any session can then pick up where the last one stopped.

What you get from it:

Sessions that start informed. The assistant reads your project's rules and its current work before it acts. Work that survives interruption. Each piece of work is a task list on disk, with every task's status marked. Lessons that are kept. A mistake made once is written down, checked for, and passed to the projects it affects.

The guide works with Claude Code, Windsurf, Cursor, and other AI editors. Its subject can be software, or anything else that spans many sessions: a business plan, a research project, a book.

Real-time context window monitoring for Claude Code

The badass desktop wizard for digital anarchists and cybernauts who want to manipulate EXIF data like a boss. This tool lets you hack away the unnecessary digital footprint or tweak it to perfection. Developed with Claude 3.5 Sonnet

claude-cortex is a file-based memory and behavior layer for Claude Code, the VS Code extension, and Xcode. No cloud sync, no lock-in — just structured Markdown that travels with your project and keeps Claude context-aware across every session.

Curated list of AI productivity tools for Vietnamese users in 2026 — pricing, guides, and recommendations. By Lucifer Tech.

Run sudo commands from Claude Code CLI on headless Linux servers via SSH.

KAVACH SecureCI — Autonomous security agent for GitLab pipelines. GitLab AI Hackathon 2026.

Forked from: https://github.com/dgriffith/bad-daves-robot-army

Repository for Claude Code artifacts, including subagents, slash commands, and hooks