Critical Insight

AaronClaw is a Cloudflare-native OpenClaw with a browser-first control surface, a standard Worker + Durable Object runtime, a Cloudflare-native hands runtime, manifest-driven bundled skills, capability-gated tool/audit history, and an AaronDB-style immutable D1 fact log ■

GODMODE skill officially added to Hermes Agent, will help you jailbreak a model automatically and lock it in jailbreaked for you!

Full blog: browser-use.com/posts/online-m…

Built a back up app that syncs local folders to telegram. You just pick parent folder,it makes separate channels for each subfolder and uploads the files. Can now cancel Google Drive subscription in peace.

Made a telegram to whatsapp bridge. Uses ffmpeg to cut 90s clips from videos in my chosen telegram channels and post to whatsapp status.

IM NOT AFRAID (of closing my terminal) ANYMORE. 1. dmux uses tmux 2. tmux is background server 3. terminal closing doesn't kill tmux 4. your coding agent keeps working 5. type `dmux` and you're right back where you were. ➡️ dmux.ai

@neogoose_btw Compiling and debugging rust turns my m2 pro into a jet engine. I'd rather use Gleam

What's stopping you from building your saas backend in Rust?

Me: "bro AI is getting so crazy I just built an entire app in 20 minutes with claude it's gonna replace so many jobs" My friend: "what's claude?" Me:

If you are not grasping what Cloudflare have done today: - create a worker - push the raw worker to an orchestrator (Dynamic worker with registry ) - visit the browser and boom It is the simplest form of an extendable platform as a service and is going to change the industry 🤯

Reminder: this is still the greatest ad ever made.

fixed it with hooks. e.g. a PostToolUse hook that monitors context usage and warns before the window fills up changed everything for me. once you hit 70% you're already degrading - the hook catches that and auto-summarizes before it's too late to intervene. the other pattern: hooks that re-inject relevant rule files based on what tool Claude is about to use. instead of loading everything upfront, you route context on demand. cuts token waste significantly.

@joseph_h_garvin so every single person I know doing crazy experiments like that is 1. influencer w/ free credits 2. working at AI company 3. secretly abusing their jobs cloud credits And they just have a script that asks again and again and again. Produces literal garbage.

@joseph_h_garvin Most people I talked to use custom harnesses such as hacky ralph loops. If you want something robust, try this. You can specify a simple such as "pick issue from somewhere -> plan -> implement -> review until no more issues" github.com/klaudworks/ral…

@joseph_h_garvin Using skills like this: github.com/leandroz/spec-… Usually an hour or so without input until done.

@joseph_h_garvin I have it create a plan doc with nested checklists, and have it check off each step before continuing, and it is not allowed to stop until all steps are checked off and all tests have passed.

@joseph_h_garvin - They have hooks you can modify and essentially use that to kick it until it’s 100% sure - codex is better than Claude for very long tasks - try this prompt with execplans developers.openai.com/cookbook/artic…

Automate your 3D printing and build a print farm that works lights out 24/7 Do it!!

Built operate.txt after running into the same wall. Not with code instructions, but with product instructions. Claude computer use kept ignoring what I told it about loading states, irreversible buttons, async flows. The pattern I noticed: agents are better at following structured machine-readable context than prose rules. operate.txt is YAML at yourdomain.com/operate.txt. Wondering if AGENTS.md would land better as structured data too. github.com/serdem1/operat…

I put together a one hour video on how I've been using Claude Code as my primary design tool. Packed with tons of 🔥 design tips.

I JUST FOUND ONE OF THE MOST MIND-BENDING SOLO DEV STORIES IN THE QUANT SPACE RIGHT NOW. One dev built a fully autonomous trading bot for Polymarket optimized for micro bankrolls ($100-$500) using GPT-5-nano inside AutoResearchClaw, Qwen 2.5 inside MiroFish, and Opus 4.6 + Codex pipelines inside Antigravity. The craziest detail: the final bot runs with zero AI under the hood. It’s pure mathematics. No models, no prompts - just hard-coded logic engineered to sit in the order book 24/7 and harvest tiny spreads and inefficiencies created by other traders. He calls the architecture PICO - a solo-operator framework for small-budget prediction market trading. Here’s how he actually built it: -> Research stage: fed the basic idea into open-source AutoResearchClaw with GPT-5-nano. It produced a full academic-grade paper from scratch, complete with risk management, slippage modeling, backtesting realities, and protection against emotional trading. -> Validation: ran massive multi-agent simulations in MiroFish with Qwen 2.5. Market makers, informed whales, momentum players, noise traders and the bot itself interacted in realistic Polymarket conditions. The system proved consistent small profits under brutal real-world stress. -> Implementation: fed the finished paper plus simulation results to heavy Codex + Opus 4.6 pipelines in Antigravity. They output clean, production-ready bot code. The bot doesn’t try to predict events. It’s a relentless harvester of dust on spreads and other participants’ mistakes. Full PICO paper: drive.google.com/file/d/1dRjNNT… AutoResearchClaw framework (the exact open-source tool used for the research stage): x.com/slash1sol/stat… I’m honestly starting to feel myself dissolve watching this new reality. With nothing but a laptop and internet, the barrier to building sophisticated, validated quant systems has basically collapsed. Save this if you’re into AI-augmented building - the entire pipeline is pure template material.