SERVICE — SOFTWARE DEVELOPMENT
Built with agentic orchestration — spec-first, adversarial-reviewed, quality-gated. The same methodology we apply to our own tools, applied to yours.
THE PROBLEM
Teams using AI coding assistants move faster — but faster gets you to wrong faster if there’s no verification layer. The output looks plausible. It compiles. It passes a quick review. And it ships with logic errors, security gaps, and no record of how any decision was made.
We build software using AI assistance with the same discipline we apply to any production system: formal specifications before code, test-driven development, multi-stage adversarial code review, and full audit trails.
Test coverage on delivery
Quality gates per feature
THE METHODOLOGY
Define what the system must do in unambiguous terms before any code is written. Ambiguity in the spec becomes ambiguity in the code — and usually a bug.
Every feature starts with a failing test — constraining AI output and making verification automatic.
Structured review stages — logic, security, integration — with defined criteria and adversarial checking at each gate.
Every AI-generated block, gate result, and spec deviation is logged — a complete record when something breaks.
The complete system tested against original specifications. Evidence-based sign-off and a clear statement of what was built.
“Build a system that does X” is not a specification. AI fills ambiguity with plausible-looking guesses.
Each untested block is a bet that the model got it right. Those bets accumulate until something breaks.
The same model that produced a logic error will explain why the logic is correct. Review must be adversarial.
“The AI wrote it” is not a useful post-mortem. You need decision records.
Components working in isolation doesn’t mean they work together.
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Describe what you’re trying to build. You’ll get an honest assessment of where you are, what the right approach is, and what it would take to ship software you can actually trust.
