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Show HN

Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code.
Keep your architecture docs in sync with your code | Tecture
shanika · 2026-06-24 · via Show HN

Watch the demo

A short overview of Tecture mapping the Redis repo into a navigable architecture model.

demo · documenting redis repo architecture

The problem

Architecture lives in your code, but the documentation lives somewhere else: a diagramming tool, a wiki, someone's head. The two drift apart the instant you ship.

FIG.01

Hand-drawn diagrams and wiki pages are stale by the next pull request. Nobody trusts them, so nobody updates them.

FIG.02

New engineers reverse-engineer the architecture by reading code and asking around, because there's no accurate map of the system.

FIG.03

Without an up-to-date view of components and dependencies, every change risks breaking something nobody knew was connected.

How it works

Tecture stores architecture as simple JSON and Markdown files inside your repo. Your coding agent writes the structure and descriptions, and you review them like any other code change. Open the same files in VS Code or the browser to explore your system as an interactive, multi-level diagram.

File-based model · in your repo

manifest.json diagrams/system-context.json descriptions/api-server.md

Quick tour

Real screenshots of Tecture mapping the Redis repo — the same model your agent generates for any codebase.

What you get

FIG.01

Your coding agent reads the source and writes the architecture model as JSON and Markdown.

FIG.02

The model lives beside the code, so it can be reviewed, versioned, and updated through normal development workflows.

FIG.03

Explore components, dependencies, and descriptions in VS Code or any browser.

Get started

Add the skill to your coding agent and the architecture model is generated, reviewed in your PRs, and kept current as your codebase evolves.

terminal — bash

$ npx @tecture/skill@latest