When we first sketched the Rule Juice concept, it was just a fun logo. Now I see similar neon/thick-stroke designs popping up all over the dev-tool space. It's a surreal but awesome feeling to accidentally spark a design trend while building a product. ๐ง๐ ๏ธ #buildinpublic
$JUICE is live on Moonshot ๐
To celebrate, we also dropped RuleJuice Pro to $4.99 for your first month (usually $9.99/mo) โ the tool that generates one shared AI ruleset for your repo across Cursor, Claude, Copilot & more.
https://t.co/6gF14WUOYA
@webwyzu@moonshot $JUICE ties into this: we're actively developing tokenized credits to cut the cost of AI code generation at scale.
Try the analyzer yourself: swap "github" for "rulejuice" in any repo URL โ https://t.co/vCw8Ci3CQN โ https://t.co/NA1SRUf823
๐จ Official $JUICE Contract Address ๐จ
RuleJuice's only official token โ beware of fake accounts/addresses impersonating us.
CA: BgDRy9M7wXWM1g9UW18UzFkHcnpii7KJiEymKNnDmoon
๐ Chart: https://t.co/fTZ9r6FRJZ
Live on @moonshot ๐
Great engineering skills are portable. Your repo's conventions are not.
pstack teaches your agent how to debug, architect, and verify. It travels with you between codebases.
But it can't know that this team returns Result<T, ApiError> instead of throwing, or that validation happens at the boundary with Zod, or that a senior dev has left the same review comment eleven times since 2023.
That part is buried in your PR history.
RuleJuice mines it and writes it out as rules your agent can actually follow.
Skills teach rigor. Rules teach your repo.
Both of these work. Only one gets merged.
The other one costs you 3 review rounds, 185k tokens, and a senior dev typing "we don't do it that way here" for the twelfth time.
Your repo already answered this. Your agent just never asked.
Working on private or confidential repositories? Keep your code strictly yours.
- Run your analysis 100% locally with Ollama.
- Zero code uploaded
- Zero servers or cloud required
- AST parsing & PR history stay in your browser
Complete privacy for enterprise repos. ๐ก๏ธ
@joshkim@poteto@bot Hey, check https://t.co/6gF14WUOYA out. Keep your code readable by your human colleagues while pushing limits of agents.
Less change requests, more approvals ๐
@poteto@bot Hey @poteto, loved your presentation!
Quick question: how do you keep the codebase readable for the team after using hundreds of agents?
If you're looking for a way, check our tool to keep projects clean and dev-friendly. Would love to hear your thoughts!
Really good approach by @poteto. As you see the software headed to automated agents and pushing limits of parallelism.
While doing that much change in your repo it's always good to keep readability of your repository.
Use https://t.co/QpVod6oIgB and onboard your agents as your teammates.
SpaceXAI engineer (ex-Cursor):
"right now I'm running 10-20 GrokBot agents that automate 90% of my routine
i have a Chief of Staff agent. He knows about all my other bots and manages everything"
in a 50-minutes podcast, a SpaceXAI engineer showed how to build a team of agents that will work for you 24/7
worth more than a $500 course on agentic engineering
watch today, then read how to build a Grok agents team from scratch in the article below
AI writes working code. It just doesn't write your team's code.
Most teams' conventions were never written down. RuleJuice reads your repo's architecture and PR history, and turns them into one ruleset your agent follows.
https://t.co/AH7ieg8PPD โ https://t.co/ETEr8Cgn1n
Swap one word in any GitHub URL:
https://t.co/vCw8Ci3CQN
โ https://t.co/NA1SRUf823
RuleJuice reads that repo's architecture + PR history and generates an AI ruleset for Cursor, Claude and Copilot.
Your agent finally writes code your team would approve.