43 candidates reviewed. 7 made the cut.
Top Signal
Cursor Ran Hundreds of Concurrent Agents for Weeks — Here's What They Learned
Cursor published a detailed post on what happened when they ran hundreds of concurrent coding agents autonomously on a single project for close to a week, writing over a million lines of code. The goal: build a web browser from scratch.
The coordination failures are the interesting part. Their first approach — flat hierarchy, agents self-coordinating through a shared file with locks — fell apart immediately. Agents held locks too long, forgot to release them, and the system throttled to the effective throughput of two or three agents regardless of how many were running. They tried optimistic concurrency next. Still broken: with no hierarchy, agents became risk-averse. Avoided hard tasks, made small safe changes, nothing got done.
What actually worked: Planners and Workers. Separate roles. Planners explore the codebase and create tasks (recursively spawning sub-planners). Workers pick up tasks and grind without coordinating with other workers. A judge agent at the end of each cycle decides whether to continue. This scaled.
This post is required reading if you are thinking about multi-agent coordination. The failure modes — lock contention, risk aversion in flat hierarchies, no agent taking ownership of hard problems — will show up in your system too. The Planner/Worker/Judge pattern is the closest thing to a proven playbook for parallel agents on complex tasks.
Verdict: Read it. https://cursor.com/blog/scaling-agents
Radar
Mac Minis selling out over OpenClaw — A viral tweet (2,691 likes, 248 replies) reports Mac Minis selling out across New York City, with Apple Store staff already knowing why customers were buying them. Verdict: Watch. https://x.com/i/web/status/2028232768962843026
SWE-1.6 Early Preview — 950 tok/s — Same pre-trained base as 1.5, already exceeding top open-source models. Verdict: Watch. https://x.com/i/web/status/2028224340484129033
Mastra 1.0 — Open-source JavaScript agent framework from the Gatsby devs — 426 HN points. Workflows, tools, memory, RAG built in. Verdict: Evaluate now. https://github.com/mastra-ai/mastra
OpenClaw Master Skills — 127+ curated skills — 312 stars, 226 forks, updated weekly. Verdict: Watch. https://github.com/LeoYeAI/openclaw-master-skills
Anthropic launches free Claude Agent SDK courses — Free on Skilljar, done in 2 hours. Verdict: Watch. https://x.com/i/web/status/2028395266634596421
Deep Cut
cc-connect — Chat with your coding agents from anywhere
113 stars on a bridge tool connecting AI coding agents to Slack, Discord, Telegram, and more. No public IP required. Check your agent from your phone.
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