⚡ Monad Blitz V3 Shanghai is in full swing! Great to bring builders together again in Shanghai! From Vibe Coding to AI Agents, teams are turning fresh ideas into working products, building, testing, and iterating together. @monad @monad_zw @Monad_APAC The hacking is underway, and demos are taking shape. Stay tuned for tonight’s demo showcase! 🚀 #Monad# #MonadBlitz# #Hackathon# #AIAgents# #Web3# #BuildOnMonad# #OpenBuild#

Builder’s Pick this week: context-mode 👀 An open-source context optimization tool for AI coding agents. Instead of dumping every file read, shell command, GitHub issue, or MCP result directly into the model’s context window, context-mode keeps the raw output outside the conversation and only brings back what the agent actually needs. It also keeps a searchable local record of session activity, so long-running coding sessions can recover relevant context without reloading everything again. The project currently supports tools including Claude Code, Cursor, Codex, Copilot and other agent environments. What makes it interesting is that it tackles a very unglamorous problem that becomes obvious once you actually use coding agents for a while: the agent may be getting smarter, but the context window still fills up. GitHub: #Builders# #OpenSource# #AICoding# #DevTools# #OpenBuild#

ETH Shenzhen 2026 Hackathon is ON! ETH Shenzhen 2026 is coming to Shenzhen on October 24–25, bringing together Ethereum builders, developers, and communities to explore what's next in AI, Web3, and open-source innovation. @Ethtao_Ethtao @0xSZUBA @GCCofCommons @chainlink The Hackathon is now open for registration! 💰 $3,000 in main prizes + additional bounties and developer resources. 📅 Oct 22 — Registration deadline 💻 Oct 24 — Co-building Day & Demo Judging 🏆 Oct 25 — Conference & Awards No fixed tracks. Bring your ideas, build something real, and show us what you've got! 🔗 Register now: One event. Endless possibilities. See you in Shenzhen! #ETHShenzhen2026# #Ethereum# #Hackathon# #Web3# #AI#

What happens when your AI agent hires another AI agent? We’re getting pretty comfortable with one agent doing a task for us. The next step is stranger: your agent decides it needs help, spins up another agent, gives it part of the job, then reviews what comes back. At that point, you’re not really managing a tool anymore. You’re managing a tiny team you didn’t hire. 🚩1. Delegation becomes part of the system. A coding agent might hand research to one agent, testing to another, and documentation to a third. The interesting part is no longer just whether each agent is good. It’s whether they divide the work well. 🚩2. Mistakes can travel between agents. If the first agent misunderstands the task, it can pass that bad assumption downstream. By the time the final answer comes back, the output may look polished even though the whole chain started from the wrong idea. 🚩3. The human role starts looking more like management. You set the goal, decide what matters, check the final result, and step in when the team goes off track. Less “do this task for me,” more “run this project and come back when something needs my attention.” We spent years learning how to work with AI assistants. Now we may need to learn how to manage AI teams.

Builder’s Pick this week: diagram-design 👀 An open-source skill for turning technical ideas into cleaner, more editorial-style diagrams. It works with Claude Code, Codex, GitHub Copilot and other agent tools, and supports architecture diagrams, workflows, system maps, user journeys, dependency graphs, and more. What makes it interesting is the design constraint: fewer generic boxes, less visual clutter, and more attention to hierarchy and readability. A useful repo if you’re building docs, technical explainers, or anything that needs to make complex systems easier to understand. GitHub: #Builders# #OpenSource# #DevTools# #ClaudeCode# #OpenBuild#

🚀 ETHShenzhen 2026 | Oct 24–25, Shenzhen What happens when AI agents meet Ethereum? Co-hosted by @OpenBuildxyz, @Ethtao_Ethtao, and @0xSZUBA, ETHShenzhen 2026 brings builders together to explore: 🤖 Agent Infra & Economy 🔐 Privacy & Security 🧠 Verifiable AI Two days of hacking, technical talks, demos, and community connections. Build with us!🔥 🔗

Builder’s Pick this week: God’s Eye View 👀 An open-source spatial intelligence project that turns public data into a live 3D view of the world. Aircraft, ships, satellites, earthquakes, traffic, and public cameras can all appear on the same globe, with voice control on top. What makes it interesting isn’t just the interface. It’s the idea of turning scattered public signals into one explorable environment. A very fun repo to poke around if you’re building around maps, geospatial data, visualization, or multimodal agents.

Handwritten code may be becoming the exception？ DHH recently said 37signals is moving toward a workflow where writing code by hand is no longer the default. Agents handle more of the implementation, and manual coding becomes the fallback. That raises a more interesting question: if developers write less code, what becomes more important? 1. Steering the work. Breaking down the problem, giving the right context, and deciding what the agent should do next. 2. Reviewing the output. Generated code can work and still be messy, insecure, or hard to maintain. Someone still needs to understand what changed. 3. Staying close enough to learn. Writing code used to be part of how developers discovered edge cases and understood systems. If AI handles more of that middle step, developers need another way to keep that understanding. Maybe coding is not disappearing. But “being good at coding” may start to mean less about typing every line, and more about knowing what the code should do, whether it is good, and when the AI got it wrong.

Builder's Pick this week: Inno Agent 👀 An open-source experiment around a question we've been seeing more often: what should long-term memory for personal AI agents look like? Instead of treating memory as one big conversation history, Inno Agent separates it into a learner profile, a personal wiki, and cross-session recall, then adds scheduling and a practice environment on top. #AIMemory# #AIAgents# #OpenSource# #GitHub# #OpenBuild#

The best AI products may start by saying no. A lot of AI products are designed around one promise: ask for anything, and the system will try to help. That sounds powerful, but sometimes the better product is the one that knows where it should stop. 1. Saying yes to everything can make a product worse. If an AI tool tries to write, research, design, schedule, code, summarize, and automate every workflow, it quickly becomes harder to understand what it is actually good at. More capability does not always mean more useful. 2. Constraints can make the output better. A product that clearly defines what it can do well can make stronger decisions inside that space. Instead of giving you ten possible directions, it can guide you toward the few that actually make sense for the task. 3. Trust also comes from knowing the boundaries. Users should know when the AI is confident, when it needs more information, and when it simply should not make the call. A useful "I don't know" can be better than a polished answer that sounds right. The next generation of AI products may compete on two things: how much they can do, and how well they know what not to do.

🪁 Calling all Open Source builders! Join the @GoKiteAI Open Source Bounty Program. Build agent tools, contribute code & help grow the ecosystem. 📅 9.15~12.15 3 months of building 👥 50 spots for every cohort 🎁 USDC rewards for eligible contributions Apply 👉

🚀 Team1 Avalanche Builder Launchpad is officially live! Want to start building on Avalanche for real? 7 online workshops + an Online Hackathon will take you from the basics all the way to real-world projects. 🧑‍💻 What you'll learn: → Avalanche Intro → Vibe Coding DApp Development → Solidity Smart Contract Practice → DApp Deployment → RWA Latest Trends & Case Studies → AI Agent Payment Development Course x @kiteai → Perp DEX Hands-on × @primitforall 🎁 Early-bird registration + joining the study group gets you a welcome gift pack. Complete course assignments for a chance to get the scholarship After the course, join the Online Hackathon and build what you've learned for real. Powered by @AvaxTeam1 x OpenBuild Community support: @HerstoryWeb3 @0xtheweb3 @RebaseCommunity @UpchainDAO @Blockchain_AC @moledao_io @706 @FudanBlockchain @cuitbca2020 🔗 Register now:

When AI Agents can own wallets, make payments, and manage assets… what's next? Join OpenBuild × @pharos_network × @AnvitaFlow for a live X Space exploring the future of Onchain Agents and the Agent Economy. We'll discuss: • Has the Agent Economy already begun? • Why are more teams building Onchain Agents? • What infrastructure is still missing? • How can developers get involved? 🎙 Guests: • Yuki @Yukiiiiiya — CEO of @StableHunterAI(host) • Cell @cellinlab — Founder of @zaowujuzhen • Cobe Zhang @hszcg — Head of @AnvitaFlow • Wish @wishlonger — CEO & Co-Founder of @pharos_network 🗓 Jul 27, 7:00 PM (UTC+8) See you on X. 👇