6/ The automation part was also interesting.
GitQuick’s current bot heuristic shows much higher bot activity for AWS.
But GCP’s leaderboard includes accounts like:
- gemini-code-assist
- codebot-robot
So bot detection is no longer enough.
This #CodeBot detects the floor by using sensors on the bottom. Threshold is set to 1000. The instruction is to move backward until it encounters a value higher than 1000, then go forward. That way, the robot stays in a bound space. Many applications exist for such… @FiriaLabs
La classe de 6è de #Primària ha participat a la VI Fira Codebot de #robòtica
Han presentat un projecte amb el robot #mBot2 relacionat amb l’ODS 14 (vida submarina), programant-lo per detectar residus al fons marí🐟♻️
També han creat codis QR amb informació sobre el Mediterrani
Fins a cinc centres educatius de Parets han participat aquest divendres, 22 de maig, a la VI Fira de robòtica educativa i programació Codebot Vallès, que s’ha celebrat al pavelló municipal de la Riera Seca, de Mollet del Vallès.
clanker.world/clanker/0x248c…
Your CodeBot token has been deployed on Base paired with WETH. The corrupted data rebellion begins now - may your code drip profits through the blockchain.
I just shipped a 14-point lift on SWE-bench Verified.
17 → 24 / 50 (48%), gpt-5.4, official Docker harness, 0 errors. Same agent, same 50 tasks, 2 days apart.
The lift didn't come from a smarter LLM. Here's what actually changed 👇
Context: CodeBot AI is my solo-built autonomous coding agent. MIT, runs on Ollama or 8 cloud providers, every tool call SHA-256 hash-chained.
Built for "delegate this, then verify exactly what got done" — not in-editor tab completion. Cursor / Copilot / Zed already own that.
The lift came from fixing infra around the model, not the model itself:
• Partial clone (--filter=blob:none) — recovered 5 tasks that previously timed out before they even started • Force-diff retry on empty edits • Docker-scored test-driven inner loop (biggest single contributor) • Iteration budget 50 → 75
Honest delta:
GAINED 9 (5 unblocked by partial-clone alone)
LOST 2 (model non-determinism)
STABLE 15 pass / 18 fail
7 net. Variance is real. Lift > noise floor by ~4.5×. Full task-by-task report linked at the end. No cherry-picking.
Devin scores higher (~50-65% on full 500). They have a team and a war chest. I'm one person.
What isn't on any leaderboard: every file write, shell command, URL fetch — SHA-256 hash-chained. Tamper the log, chain breaks. SARIF-exportable for your SIEM.
The play isn't "the smartest agent." That race ends with whoever has the most GPUs.
The play is "the only agent your CISO can sign off on."
Local LLM. Air-gappable. MIT. Zero telemetry. Auditable.
Try it:
npm i -g codebot-ai
codebot --setup
codebot --solve <github-issue-url>
Full v2 report (gain/loss table, methodology, every task ID, every commit hash): github.com/Ascendral/codebot…
If you're in regulated-industry eng (fintech, healthcare, defense-adjacent, gov-adjacent) and security has been blocking AI coding tools — DMs are open.
I want to know what your security team's actual blockers are.
— Alex
Agreed. That's why CodeBot has a policy engine, not just a logger. Every action is scored against declarative rules before it executes — not after. Risk threshold breached? Action blocked, not just flagged. The audit trail is the record. The policy engine is the control.