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Every open-source project should be engineering agent loops right now. We've found success managing Warp with loops for: - Issue triage - Spec generation for larger features - Code review - Even letting agents self-improve their Skills on a cron

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Ben Holmes

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41,126 просмотров • 1 месяц назад •via X (Twitter)

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Claude Code’s creator “I haven’t coded manually for 8 months. It’s been 100% Claude Code. Right now im runing hundreds of agents with /loops and dynamic workflows.” in just 20 minutes, Boris shows how he designs self-learning agent systems: Loops + dynamic workflows + routines That’s worth more than a $500 course on agent engineering.
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Claude Code’s creator “I haven’t coded manually for 8 months. It’s been 100% Claude Code. Right now im runing hundreds of agents with /loops and dynamic workflows.” in just 20 minutes, Boris shows how he designs self-learning agent systems: Loops + dynamic workflows + routines That’s worth more than a $500 course on agent engineering.

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Anthropic just released 5 Claude workshops on the new skill every AI builder needs: Loop Engineering: 00:00 - Stop babysitting your agents 37:07 - Build a proactive Claude Code loop 1:11:23 - Build a production-ready Managed Agent 1:38:46 - Teach agents to learn from your team 2:07:15 - Hill-climb your agent with eval loops It is a 2 hour and 25 minute blueprint for Loop Engineering: proactive workflows, managed agents, team feedback, evals, and self-improvement. Watch it today, and read the article below to improve your skills with Fable 5.
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Anthropic just released 5 Claude workshops on the new skill every AI builder needs: Loop Engineering: 00:00 - Stop babysitting your agents 37:07 - Build a proactive Claude Code loop 1:11:23 - Build a production-ready Managed Agent 1:38:46 - Teach agents to learn from your team 2:07:15 - Hill-climb your agent with eval loops It is a 2 hour and 25 minute blueprint for Loop Engineering: proactive workflows, managed agents, team feedback, evals, and self-improvement. Watch it today, and read the article below to improve your skills with Fable 5.

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📣 What if every open issue had a Codex agent? That’s the idea behind Symphony, an open-source agent orchestrator for Codex that turns task trackers into always-on systems for agentic work, letting humans focus on review and direction.
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📣 What if every open issue had a Codex agent? That’s the idea behind Symphony, an open-source agent orchestrator for Codex that turns task trackers into always-on systems for agentic work, letting humans focus on review and direction.

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i wonder, now that every tech bro is obsessed with making their own open source markdown editor for agents, should i revive this project and make one for humans?
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i wonder, now that every tech bro is obsessed with making their own open source markdown editor for agents, should i revive this project and make one for humans?

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Warp's open-source contribution flow is backed by coding agents, with skills for triage, planning, coding, review, and verification. This lets contributors focus on ideas and direction. If you're curious how these agents work, here's a walkthrough of our contribution flow:
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Warp's open-source contribution flow is backed by coding agents, with skills for triage, planning, coding, review, and verification. This lets contributors focus on ideas and direction. If you're curious how these agents work, here's a walkthrough of our contribution flow:

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Claude Code creator: "At Anthropic, 90% of our engineers are running agents with self-improving loops. in 3-6 months, everyone will be running /loops - this is the future of engineering" in a 1-hour podcast, Boris Cherny reveals the best tips for building Claude Code automations. Claude + loops + routines + dynamic workflows - that’s the secret. Watch the talk, then read how to apply and build the same setup in the article below.
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Anthropic engineer just released a 2-hour workshop on "Graph Engineering" for agentic systems: “80% of our engineers are using self-improving loops. Now everyone is building agentic graphs.” • 00:00 - Introduction to RAG & Graphs • 06:39 - Core of "Graph Engineering" (state, nodes) • 14:29 - 3 feedback loops of Graph agents • 23:06 - Agent evaluation with Graphs • 36:29 - Agent cycles in graphs • 1:15:22 - Agentic RAG & agent context • 1:41:20 - Evaluation datasets based on Graphs This 2-hour workshop will replace 10 paid courses on agentic engineering. Watch it today, then learn how to become a Graph Engineer in the article below.
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New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @pauleveritt@fosstodon.org. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!
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New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @[email protected]. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

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THIS GUY BUILT A COMMAND CENTER FOR MANAGING AI AGENT TEAMS he was running 20+ agents through openclaw. all from terminal tabs and Discord. 12 tabs open. still losing track of who's doing what. which cron failed. so he built a dashboard that gives you one place to see everything: > org map showing the full agent hierarchy, who reports to who and what tools each agent has > chat with any agent through a real UI instead of bouncing between terminals > kanban board for tracking tasks across all agents > cron monitor with pipeline visualizations so you can see which jobs are failing > memory browser to read through all agent knowledge files in one place you can even point it at your openclaw workspace and it auto-discovers every agent from their config files. zero setup. AND ITS OPEN SOURCE TOO.

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