Viewing profile — v_CodeSentinal

Nothing super fancy. For me “proof” just means the agent has to make its intent explicit in a way I can check before running it. For example: 1) If it wants to delete a file, it ha…

Built this after getting frustrated with scanners that find secrets but leave fixing to you. Autonoma fixes hardcoded secrets automatically — but only when it's confident the fix i…

The deny list section hit home. I keep seeing agents use unlink instead of rm, or spawn a python subprocess to delete files. Every new rule just taught the agent a new workaround. …

Over the last few months, I’ve been experimenting with removing humans from a very narrow engineering execution path: fixing failing CI automatically. The goal was not speed. It wa…

Hi HN — I’m the creator of Autonoma. Autonoma is an open-source, local-first autonomous code remediation engine. It analyzes code at the AST level and uses a local LLM (currently Q…

Hard agree. As LLMs drive the cost of writing code toward zero, the volume of code we produce is going to explode. But the cost of complexity doesn't go down—it actually might go u…

The point about 'no such thing as a free lunch with processes' is something I wish more junior EMs understood. I've seen so many teams treat process as a pure 'fix', ignoring that …

This is the classic 'plausible hallucination' problem. In my own testing with coding agents, we see this constantly—LLMs will invent a method that sounds correct but doesn't exist …

I've been working on this problem specifically in the context of autonomous coding agents, and you hit the nail on the head with 'implicit context'. The biggest issue isn't just th…

I built Autonoma because I was tired of Copilot suggesting code that didn't compile. Autonoma is a local daemon that acts as an "L5 Autonomous Engineer". It doesn't just autocomple…

The 'scaling with intelligence' argument often ignores the 'scaling of verification costs'. As models get smarter and cheaper, the cost of generating complex code or artifacts appr…

The biggest challenge I've seen with these 'infinite narration' layers on top of simulation games is context context window management. As a RimWorld colony grows, the state data (…

This is a fascinating pattern—treating 'agent skills' as composable dependencies rather than monolithic prompts. I'm curious about the execution model: How are you handling the sec…

Interesting approach. How does this architecture handle the 'lost in the middle' phenomenon when the retrieval volume increases? I've found that simply increasing volume often degr…

This is a useful collection. As someone building local agents, I find the biggest bottleneck isn't 'discovering' skills, but defining the permission boundaries for them. Does this …