ONE PROMPT AND ONE BUTTON NOW BUILDS A FULL SYSTEM, DATABASE, BACKEND, AND FRONTEND INCLUDED
Most people still picture AI as something you ask questions to, then copy the answer into your own code by hand.
A builder wired Claude into Obsidian through MCP instead, so a single written prompt becomes the actual spec for the system.
Claude breaks that prompt into database schema, UI components, and API endpoints on its own, then writes, runs, and fixes the code until it actually works.
MCP is what makes this possible, it lets the agent see the filesystem, installed packages, and running services before it starts building anything.
The output isn't a code snippet sitting in a chat window, it's a live local app running on its own server, ready to open in a browser.
What used to need a backend developer, a DevOps engineer, and two weeks now finishes in under fifteen minutes.
See the full architecture and prompt structure below👇
Colourized and digitized archival footage of British Tommies taking a spin on their country's newest weapon: a tank.
Clipped from Peter Jackson's 2018 documentary 'They Shall Not Grow Old.'
A PROMPT NOW TURNS AN ENTIRE SYSTEM ARCHITECTURE INTO A VISUAL MAP INSIDE OBSIDIAN
Most people sketch out a system on a whiteboard first, then translate that sketch into code somewhere else entirely.
A builder skipped that translation step by having Claude Fable 5 generate the architecture straight into an Obsidian Canvas.
Each block on the canvas represents a real part of the system, ideation, drafts, trackers, all connected with labeled edges showing how data actually moves.
Nothing on the canvas is decorative, every node points to a real file sitting in the vault behind it.
Moving a block around the canvas isn't just visual tidying, it reshapes how the underlying system is wired together.
See how the canvas maps to real files below ↓
Woow amazing A robot dog this size turns every step into a balance problem.
Its wide stance and oversized leg actuators support a heavy frame as it moves across a truck platform.
No autonomy claim here. Just a massive quadruped hardware demo.
What do you think a robot dog this large should be used for?
72 hours in and GPT-5.6 Sol is still running without a single follow-up prompt.
The task was to build the most comprehensive map possible of the physical infrastructure powering AI, submarine cables, data centers, power plants, substations and electricity grids.
The only thing given was a simple loop:
→ Find the biggest gap
→ Research it
→ Build it
→ Test it
→ Publish it
→ Repeat
Most people expected this to stall after a few hours. It didn't. The Mac restarted mid-run and Codex picked up exactly where it left off without losing anything.
What this actually proves is that the prompt matters less than the goal. The smarter the model, the more room you need to give it to make its own decisions. Constrain it with steps and you get a worse version of what it could do on its own.
Family Trip Command Center is an open-source dashboard that manages group travel logistics through a command-center interface. The tool replaces standard planning methods by tracking convoy routes, simulating arrival times, and coordinating meals and activities for multiple families traveling together.
https://t.co/iU28zCJotH
Anthropic CEO Dario Amodei:
"Claude writing 90% of the code doesn't mean we fire 90% of engineers. they become 10x more productive on the remaining 10%"
a year and a half ago, their models could write 5% of real GitHub PRs. now it's 77%
his sister was sick during pregnancy. 4 doctors couldn't figure it out. she uploaded her data to Claude - it found the bacterial infection they all missed
his vision: "what is an enterprise? it's kind of a super intelligence. AI at the center of every one of them"
~38mins, free
bookmark & watch now ↓
MOST PEOPLE ARE PAYING MONTHLY FOR SOFTWARE THAT ALREADY HAS A FREE OPEN-SOURCE TWIN ON GITHUB.
Ten repos worth knowing right now.
TradingAgents
A multi-agent quant trading framework where AI analysts, researchers, and risk managers debate before a trade.
https://t.co/NxcRVngpLU
LibreChat
One interface for ChatGPT, Claude, Gemini, and local models. The multi-model chat you were paying three subscriptions for.
https://t.co/yATSH89rqD
HyperFrames
HeyGen’s open-source video engine. Write HTML, render MP4. Built for agents, ships with 20 skills.
https://t.co/zA5DV7B0tr
Fincept Terminal
An open Bloomberg-style terminal with AI analyst agents. Bloomberg costs thousands per year. This is a repo.
https://t.co/LAjtVqezSs
MoneyPrinterTurbo
Keyword in, finished short video out: script, footage, captions, music.
https://t.co/JZ67ixN2YF
Agentic Inbox
Cloudflare’s self-hosted email client with an AI agent. Your mail stays in your account.
https://t.co/AMlNHxTsPV
VoxCPM
Voice cloning from a few seconds of audio, multilingual, tunable by text description.
https://t.co/htopWuhwRu
Flowsint
Graph-based OSINT investigations. Domain in, connected IPs, emails, and accounts out. Everything stays local.
https://t.co/bVhu9rZvIC
agent-skills
Addy Osmani packaged production workflows into Claude Code skills. Years of engineering taste, one install command.
https://t.co/KyHzDzMuLV
Nango
Open-source API integration platform. Hundreds of connectors you were about to build by hand.
https://t.co/mOfBC3aL7i
The detail most people miss: these are not toy demos. Several are real companies open-sourcing core infrastructure as distribution.
Stop bookmarking AI tool websites. The serious stuff ships as a repo.