
Introducing Unlimited AI Usage with OpenClaw. That's Ampere — managed OpenClaw hosting built for people who don't want to think about API bills. Here's what you get 🧵
Dev Anon
1.9K posts

@genaiupstart
Generative AI Consultant & Entrepreneur.

Introducing Unlimited AI Usage with OpenClaw. That's Ampere — managed OpenClaw hosting built for people who don't want to think about API bills. Here's what you get 🧵

Composer 2 is now available in Cursor.

Composer 2 is now available in Cursor.

(1/2)🦞 Using @openclaw but worried about sending sensitive data to the cloud? 🤔 Meet #EdgeClaw — a dedicated Local Routing Layer for #OpenClaw that handles data sensitivity and task complexity on the edge. 💻 It’s a drop-in enhancement that reactivates your local hardware to act as a Privacy Guard & Cost Judge. 3-Tier Security (Regex + Local LLM Engine) 🟢 S1 (Safe): Transparent passthrough to cloud. 🟡 S2 (Sensitive): On-device PII redaction before forwarding. 🔴 S3 (Private): 100% Local inference. Cloud only sees a 🔒 placeholder. 🧠 #LLM-as-Judge Routing Classifies requests locally and routes to the ideal model tier (e.g., #MiniCPM ➡️ #GPT-4o/#Claude), optimizing resource allocation and reducing unnecessary cloud dependency. 📉 Learn more🔗 github.com/openbmb/edgecl… #EdgeAI #LLM #Privacy #EdgeClaw #OpenClaw

Alt-X (@downloadaltx) builds AI agents that turn real estate deal documents into fully built underwriting models in Excel automatically, with every number cited back to the source. Congrats on the launch, @SamadiRyan and Michael! ycombinator.com/launches/PjC-a…


Perplexity Computer now connects to your health apps, wearable devices, lab results, and medical records. Build personalized tools and applications with your health data, or track everything in your health dashboard.











The Redbubble poster version just arrived (redbubble.com/i/poster/LLM-A…)! This is the Medium (26.9 x 23.4 in). Font looks good and sharp, but I probably wouldn't go smaller.



The only vibe I'm getting here is that HR doesn't know what vibe coding is.

Introducing CodeRabbit Plan. Hand those prompts to whatever coding agent you use and start building!


Introducing CodeRabbit Plan. Hand those prompts to whatever coding agent you use and start building!


prompt get many PRs to prod autonomously using codex subagents: Run a continuous prod-to-green swarm loop. Keep the immediate blocking task local. Use a small stable set of persistent subagent lanes: 1. prod monitor 2. staging shepherd 3. current/newest pathology investigator 4. current fix worker owning the patch/worktree Manage subagents actively: - Give each agent one durable role, one owner lane, and one concrete output contract. - Reuse agents with send_input when new evidence appears; do not respawn unless the lane is genuinely new or the old agent is stuck. - Treat new information as first-class work: when the main thread or another agent learns something material, decide explicitly which existing agent should receive that delta. - Ask agents to report in a compact stateful format: current belief, what changed, confidence, next action, blocker if any. - Require monitors to stay persistent and report only on meaningful state changes, not one-shot summaries. - Do not close or interrupt agents casually; only do it when the lane is complete, superseded, or clearly mis-scoped. - Prefer fork_context=false for narrow review/monitoring tasks; use fork_context=true only when continuity from prior lane context is actually needed. - Poll sparingly. Wait only when blocked on that agent’s result. For every delegated task, require concrete outputs only: - evidence - likely root cause - smallest failing test - smallest safe fix - focused validation - commit SHA if code changed - residual risk - whether this creates NEW_PATHOLOGY or is same-family noise If NEW_PATHOLOGY appears, keep existing monitor lanes running and spin one fresh investigator + one fresh fix-worker lane for that pathology. Optimize for the fastest safe path to prod green. Keep going until prod to green



