The biggest cost in crypto isn't always the one you see.
Sometimes it's the tiny losses that happen so often you stop noticing them.
What's one "hidden cost" you wish your wallet actually showed?
@flow_blockchain@flow_developers#flow flow:native
#AI
Your coding agent follows AGENTS.md. Who approved what it says?
Agent.md audits the file,
ties every change to a reviewer's approval,
and signs a record anyone can verify offline.
Audit your repo now๐
#AI#Coding#OpenSource
My AI agent leaked a secret. Every guard said "fine."
Session 1 read .env. Session 2 sent it out. Both looked clean.
VIGIL remembers where every value came from in @falkordb and stops the leak before it runs.
6/6 caught. 0/6 without the graph.
@WeMakeDevs#AIAgents
Your app blocker is one tap from off.
Timers run on your own phone. Nobody checks them.
Commitment apps take your money when you slip.
What if it checked you instead, and paid you back?
#BuildOnMonad#Web3#DigitalWellbeing#Focus@monad@monad_dev
@vigil_labs@monad@monad_dev Proof of focus > promises to yourself. Turn discipline into something verifiable, and digital wellbeing gets a whole new economic model. ๐ฅ
This launch film was made by Claude Opus 5.5.
No editor. No After Effects. One markdown file of motion rules: easing curves, cuts on the beat, one idea per screen.
The film is HTML rendered frame by frame.
The standard is open source ๐
#AI#Coding#OpenSource
Your attention deserves more than another reminder. ๐ต
FACEDOWN turns putting your phone down into a commitment you can complete, verify, and track.
Meet Pip. Meet FACEDOWN, built on @monad testnet.
What could 2 phone-free minutes change?
#Monad#BuildOnMonad@monad_dev
What if your AI agent could shop for you, but couldn't be tricked into overspending?
Meet Tally ๐ pocket money with rules that actually work.
๐น Family can fund your allowance from anywhere.
๐น AI agents can shop on your behalf.
Not just spending limits.
@monad@monad_dev
@agent_dot_md AI codingโs hidden tax isnโt generation. Itโs debugging confident code built on obsolete assumptions. This is exactly the right problem to solve.
Your coding agent still writes middleware.ts.
Next.js 16 renamed it to proxy.ts. The old file isn't picked up.
params is async now too.
The model's training data is older than your package.json.
So I made the CLI read your package.json ๐
#AI#Coding#OpenSource
@iocryposto1273@awscloud@AWS_India@WeMakeDevs A maintenance log tells you what happened. Real-time monitoring tells you whatโs happening. That gap is where IoT can create genuine impact. DHARA is tackling a problem that deserves far more attention. ๐
Heat drains chlorine from rooftop water tanks.
The only record? One line: "cleaned."
We built DHARA on AWS IoT Core, S3 and EC2 to fix that, and proved it live.
Would your hostel pass? ๐
@awscloud@AWS_India@WeMakeDevs
Your CLAUDE.md says API handlers live in src/api/handlers.ts.
That file doesn't exist anymore.
Your agent doesn't know. It believes the file, then guesses.
A stale instruction is worse than no instruction.
#AI#Coding#OpenSource
How old is the oldest line in yours?