Jingles

2.7K posts

Jingles

Jingles

@jinglescode

I onboard developers & businesses to Web3 without friction | Founder of @meshsdk and @utxos_dev | Prev AI/ML eng @AlibabaGroup

NY/SF/SG/NS Inscrit le Şubat 2022
410 Abonnements2.5K Abonnés
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Jingles
Jingles@jinglescode·
What is Network School (@ns)? A frontier community where remote workers, digital nomads, and online creators live and work together. I'm here as a Longtermer. If you're building something and want to be around others who are too, this might be for you. Check links below.
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Jingles@jinglescode·
Introducing Clipboard An open-source engineering team that lives in your GitHub board. 8 agents. One orchestrator. → Powered by gstack agents by @garrytan → Hireable by Paperclip by @dotta → Learns from every run → Agents posts updates as GitHub comments Write an idea on GitHub, wake up to a merged PR. Just `npx @clipboardai/cli onboard`
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Jingles@jinglescode·
@garrytan @dotta How it works: 1. Write a GitHub issue 2. Set it to "Ready for Planning" 3. Go do other things Clipboard writes the spec, implements, reviews, runs QA in a real browser, and merges the PR. Your working tree is never touched. Everything happens in isolated worktrees.
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Jingles@jinglescode·
@garrytan Hey Garry, you must have been spending 12 hours a day on the terminal. Can you imagine what garry-as-a-service to operate gstack would look like? x.com/jinglescode/st…
Jingles@jinglescode

Introducing Clipboard An open-source engineering team that lives in your GitHub board. 8 agents. One orchestrator. → Powered by gstack agents by @garrytan → Hireable by Paperclip by @dotta → Learns from every run → Agents posts updates as GitHub comments Write an idea on GitHub, wake up to a merged PR. Just `npx @clipboardai/cli onboard`

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Jingles@jinglescode·
Introducing Mesh Skills: open-source AI skills for building with @meshsdk's developer platform. Developers and AI agents can use them with Cursor, Claude Code, Codex, and any agentic tooling that supports skills to generate better integrations for transaction building, wallet operations, and smart contract interactions. As the agentic economy grows, the context provided to AI systems becomes just as important as the code itself. Use it now: npx skills add MeshJS/skills
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Circle@circle

Introducing Circle Skills: open-source AI skills for building with @USDC, EURC, @Arc, and Circle’s developer platform. Developers and AI agents can use them with Cursor, Claude Code, Codex, and any agentic tooling that supports skills to generate better integrations for stablecoin payments, crosschain transfers, wallet operations, and smart contract logic. As the agentic economy grows, the context provided to AI systems becomes just as important as the code itself. Use it now: npx skills add circlefin/skills github.com/circlefin/skil…

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Jingles@jinglescode·
@yutazzz Thank you for your hard work and service. Looking forward to your conclusion
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YUTA-Cardano/CPA(DMは全て詐欺)
My current status regarding governance action voting 🙏 1) Cardano Budget Process Framework (facilitated by Intersect): Waiting for answers to questions: I'm generally happy with the direction of this Budget process, and I think it's a significant improvement over last year, reflecting community feedback. I would vote YES unless the answer to this question is unreasonable. x.com/yutazzz/status… 2) Dingo: a Production-Grade Block Producer in Go by Blink Labs: Gathering information, especially comparative data with Haskell nodes. 3) Cardano Defi Liquidity Budget - Withdrawal 1: Probably YES if no excellent competing proposals are submitted. 4) Cardano x Draper Dragon: Orion Fund: Reading proposals. :I've had several meetings with them, and I've asked them many questions about things the community has asked and things I was wondering about, so I think some of my doubts have been resolved. In any case, I plan to read the proposal later. forum.cardano.org/t/scaling-glob… forum.cardano.org/t/scaling-glob…
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Jingles@jinglescode·
@mattyreed1 Each agent gets a fresh, focused context. if verifier has context of implementer, the test would not be good. so Gin only sees the diff + acceptance criteria. Champagne only sees the codebase + idea. maximum context headroom for the work that matters.
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MR.@mattyreed1·
@jinglescode Why do you use 5 different agents rather than one agent with skills + subagents?
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Jingles@jinglescode·
tonight's task list 👇
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Jingles@jinglescode·
@Cardano_CF Our team have contributed to this repo, and now working to bring this to market via @utxos_dev If you want to use launch CIP113 tokens, follow @utxos_dev for updates.
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Cardano Foundation
Cardano Foundation@Cardano_CF·
Cardano just got programmable tokens at scale. With CIP-0113, token issuers now have a standard to enforce compliance logic directly to native Cardano assets. The framework is modular, open source, and live on the Preview testnet. Learn more: cardanofoundation.org/blog/programma…
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