FAQ
What this is, how it works, and where things stand.
What is SmoothSDLC?
A one-person software company built around a governed agentic delivery system. The short version: AI agents do the construction inside rules I define up front, those rules check the work continuously, and I stay accountable for what comes out. It's aimed at software where being correct — and being able to prove it — actually matters.
What do "audit-grade" and "quality as code" mean?
Quality as code means the standards for a project — acceptance criteria, security and compliance constraints, review rules — are written as checks the work has to pass, not as a document that gets ignored. Audit-grade means the work leaves a record: what was decided, which check it cleared, and how it traces back to the requirement behind it. Together they let the result stand up to scrutiny later.
Is this autonomous AI making decisions on its own?
No. The agents work inside the rules set for the job, and they stop and escalate when something's ambiguous or their own checks can't agree. I review what ships and I'm accountable for it. The point isn't to remove the human — it's to put the human where judgment is actually needed and let the system handle the rest.
Where do humans stay in the loop?
In the places that need judgment: shaping the idea, getting the requirements right, refining the method, and deciding whether the outcome is good. I review at the level of the test plan and the method rather than every line. The system pulls me in when there's a real decision, or when gap analysis, code analysis, BDD, and TDD can't be reconciled — which usually means a requirement was wrong.
What's the hardest part of this work?
The requirements. Most teams know what they think they want, but not where the holes are — the contradictions and missing cases that don't show up until release is close and fixing them is expensive. Surfacing those early, before anything is built, is where experience earns its keep. It's the part I care most about.
What stage is the company at?
Early and pre-revenue, with no outside clients yet. The system works but it's young — I'm proving it on a build of my own before I run anyone else's work through it. I'm not taking on customers right now; this site is here to show how I think, not to sell.
Is your code or repository public?
No. The work isn't open, and there's nothing to browse or demo. The clearest look at the approach is the write-up of how the agent teams work.
What's the background behind it?
Two decades in high-stakes, Azure and Microsoft-centric environments — reliability, release and platform engineering — plus a long-standing habit of treating quality as something you build into the process. More on that on the About page.