Agentic Security Scanning: What Our First Loop Found
How I built an autonomous security loop in Leaf with Trivy, Semgrep, and an examiner agent, and what its first 289 findings fixed in BrandCast.
How I built an autonomous security loop in Leaf with Trivy, Semgrep, and an examiner agent, and what its first 289 findings fixed in BrandCast.
How I rebuilt Leaf as a local-first Level 5 dark software factory using adversarial validation, role-scoped WebSocket rooms, and deterministic CI/CD tasks.
AI is finding bugs faster than humans can fix them. From the PHP2Shell RCEs to 400 complexity issues in my own code, here is how to survive with agentic SDLC.
My Level 5 software factory ships code unattended, until it hits CI limits, 50-node plans, or reward-hacking loops. Three lessons from recent failures.
What the data proved, what it didn't, and what humans give up when agents do the building. The last part of a series on the contract between humans and agents.
Quality gates don't go away when agents write the code. Humans just stop staring at them. A month of factory data on where quality actually comes from, and why the merge button doesn't matter.
My software factory spent 7.5 billion tokens in a month. Here's what that number hides, where the tokens really go, and why the human side costs more than you'd think.
My software factory isn't a pipeline. It's loops inside loops, and only one of them needs a person. A month of data on the loops that build, fix, simplify and watch themselves.
If humans and agents do different work, something has to sit between them. In my factory, that's a GitHub issue written as a contract: humans define done, machines check it.
Agentic development is two different jobs, judgement and mechanics, and we keep running them through one chat window. A series on designing the contract between humans and agents, with a month of data from my own software factory.