TPM @ZcashFoundation 🛡️ · Building with AI agents · Shipping systems, sharing what works · Opinions my own
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DearKane retweeted
hackathon alert: ZECATHON by zkSNARKs
$100,000 in $ZEC prizes for developers building privacy-focused products on Zcash.
organized by zkSNARKs, ZECATHON is looking for useful applications, infrastructure and tools that can bring more people into the Zcash ecosystem.
- prize pool: $100,000 in $ZEC
- deadline: late october 2026 (exact date to be confirmed)
- ecosystem: Zcash
- submissions: open
prize breakdown:
- grand prize: $20,000
- shielded payments: $15,000
- private markets: $15,000
- cross-chain: $15,000
- core & tooling: $15,000
- wildcard: $15,000
- community choice: $5,000
what can you build?
- private payment solutions for checkout, payroll, invoices and tipping
- private trading platforms, auctions and marketplaces
- cross-chain swaps, wallet integrations and onboarding tools
- SDKs, developer tools, explorers and testing infrastructure
- games, education, art and other creative applications using Zcash
the competition is focused on working products that make privacy more useful and accessible.
to participate:
- register on the official website
- choose a track
- review the rules and developer resources
- build and submit your project before the deadline
full judging criteria, submission requirements and the exact deadline are available through the event platform.
registration and submissions are open.
thezecathon.com/
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Grateful to join @ZcashFoundation 🛡️
My job: coordinate engineering across ZF's projects and keep the path from idea to working code short.
Starting by listening and learning. If something in the dev process feels slow or unclear, DMs are open.
🎉 Welcoming @DeArcayne to the team as our Technical Program Manager!
zfnd.org/zcash-foundation-we…
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Free and works incredibly well with Cmux and or Herdr
"real-time audio transcription using the Whisper model"
github.com/starmel/OpenSuper…
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Matt Pocock’s 50+ minute walkthrough on AI coding covers a broader system for keeping agents effective: smart-zone context, “Grill Me,” PRDs, vertical slices, AFK execution, and TDD.
Here’s the practical breakdown in under two minutes.
Source: piped.video/watch?v=-QFHIoCo…
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The more I think about Stripe buying OpenRouter, the less it feels like a bet on model routing.
OpenRouter sits right where AI usage becomes measurable: what model was used, how much, and what it cost.
Maybe Stripe isn’t really buying the router.
Maybe it’s buying the meter.
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DearKane retweeted
We just launched Xirp, a vendor-neutral agentic development environment. One place to manage agent sessions across @ClaudeDevs, @GeminiApp CLI, and @OpenAI Codex. 1,300+ @Spotify engineers already use it. Now it's available for you to try. Learn more at xirp.spotify.com.
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Whoever you are, don't outsource your understanding, judgement, empathy and taste to AI.
Don't abdicate your responsibility. Don't be a meat proxy.
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Agents as a new kind of web visitor
blog.cloudflare.com/the-agen…
recommend read
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x402 is forcing a product question => what should an AI agent actually pay for in real-time? 🤖💸
For trading agents, the wallet opens for:
⚡️ High-quality data
⚡️ Simulation
⚡️ Execution
⚡️ Risk checks
Generic content paywalls? Not a chance.
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What I’m watching in x402 now is less “can an agent pay an endpoint?” and more "can a marketplace of paid endpoints be trusted by agents at runtime?"
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Sweet spot for me so far is Luna High as workhorse
GPT-5.6 Sol and Luna are ahead of Terra at every point on the Intelligence vs Cost per Task chart. GPT-5.6 Luna stands out as a particularly cost efficient model
Charting the Artificial Analysis Intelligence Index shows the trade-off between intelligence and Cost per Intelligence Index Task. Across reasoning efforts, each GPT-5.6 model pushes past GPT-5.5 on the Pareto frontier (excluding non-reasoning).
However, Luna and Sol are always ahead of Terra. This means for any Terra effort level, there is a Luna or Sol effort level that is more intelligent at no extra cost, or as intelligent at lower cost.
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DearKane retweeted
Introducing Cloudflare Drop
Drop your folder in the browser and deploy it instantly on Cloudflare. Your website... milliseconds away from users on region: earth
No account needed. Deployment is active for 60 minutes, then expires unless you claim it.
cloudflare.com/drop/
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Most agent work still treats the agent as the unit.
🌞 🌍 🌛 coming . . .
The unit should be the delivery loop:
Plan → Build → Review → Evidence
If the task is too broad, the loop recurses.
The seed is the loop. The tree grows from the work.
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Web3 UX is shifting from confirm every action to delegating intent.
Look at the technical convergence of EIP-3009, Permit2, and EIP-7702. Allowing code to execute securely without constant wallet popups.
A breakdown of why the account model is changing: 👇
info.etherscan.com/what-you-…
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I gave one coding agent a PRD with a few separate pieces of work.
It didn’t fail. It just kept losing the thread.
So I became the copy-paste layer between planning, implementation, and review.
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The agent is not the unit. The delivery loop is.
Each loop carries the same seed:
task plan → task-fit model → implementation → code review → evidence
The tree grows only where the work needs it.
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I’m building this into the open-source Agentic Delivery Playbook.
It’s still early. I’d love people to test it on real work, especially where recursion removes coordination.
github.com/arcayne/agentic-d…
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