@jessethanley@PlanetScale@0x15f `pscale` CLI is excellent, too. I set up a weekly Codex automation to look for slow queries and evaluate @PlanetScale schema recommendations
I set up @OpenAI Symphony last week, and have used it to close dozens of issues.
It's not perfect. The one, perfect workflow for everything doesn't exist. Symphony is worth setting up as-is for high-confidence, low-blast radius issues.
Tip: have it attach screenshots.
This is the most useful tooling I built for OpenClaw to date. It's open source, runs on codex and you can fork and use it for any repo.
For all the hard working oss folks that drown in issues and PRs, this is for you.
OpenClaw has problems today that other projects and companies don't have, but will tomorrow when agents go 100x. Startups in this space should take notice.
PRs on OpenClaw are growing at an *impossible* rate.
Worked all day yesterday and got like 600 commits in.
It was 2700; now it's over 3100.
I need AI that scans every PR and Issue and de-dupes.
It should also detect which PR is the based based on various signals (so really also a deep review is needed)
Ideally it should also have a vision document to mark/reject PRs that stray too far. This can't be fully automated, but even assisting would help.
The closes I found is an obscure oss project.
How's no startup working on this?
Best models to run on your hardware:
—— 64 GB ——
- Qwen3-coder-next-80B-4bit (coding, Claude code, general agent)
- Qwen3.5-122B-reap: (browser use, multimodal, tool calling, general agent)
—— 96 GB ——
- GLM-4.6V (multimodal and tool calls)
- Hermes-70B (Jailbroken)
- Nemotron-120B-Super: (openclaw)
- Mistral-4-Small (general agent)
—— 192 GB ——
All these are excellent top tier LLMs and approach sonnet in capabilities
- Step-3.5-Flash
- Qwen3.5-397B-REAP
- MiniMax-M2.5 (soon M2.7)
- GLM-4.7-Reap
@arvidkahl Have you seen OpenAI ExecPlans? It's great for anything that is medium size or larger: prevents memory rot across compaction, but also tracks observations, surprises, and decisions. I commit it with the PR so that future agents can read the "why."
https://t.co/ZX01IEqLyN
Au Japon, les images utilisées sur les emballages alimentaires sont strictement encadrées par la loi : elles ne doivent en aucun cas induire le consommateur en erreur.
C'est pour ça que souvent les produits ont la même taille que sur l'emballage #Japon
@i_am_brennan@ryancarson I've been using OpenAI's ExecPlans for months and they've been great, esp large, multi-release staged projects. Also valuable to commit them with the project so future agents can read about it.
@ashleymayer I was thinking the same. ChatGPT gets the headline, but he's clearly willing to run through walls. ChatGPT only helped him find which walls. Lucky dog!