Capabilities
Two things, really: a governed agentic delivery system I'm building, and the platform engineering background it's built on.
Agentic delivery, under governance
The agentic system is a set of capabilities, and I use different ones depending on the objective and its stakes.
Requirements and gap analysis
Pulling apart what's being asked for and finding the holes before anything gets built: the contradictions, the missing cases, the assumptions nobody wrote down. It's where I spend most of my attention.
Quality as code
Acceptance criteria, security constraints, and review standards written as checks the work has to pass. The same rules that gate the work produce the record of it, so verification happens continuously instead of in a scramble at the end.
Agentic execution
Specialized agents doing the construction inside those rules, coordinated when the work is complex and kept simple when it isn't. Gap analysis, code analysis, BDD, and TDD run while the work proceeds.
Human-in-the-loop and accountability
The system handles what it can and stops when it can't. It escalates when it needs a decision, or a review when its own checks disagree. A person stays accountable for what ships. I review the test plan and the method rather than every line.
Audit trail and lineage
A record of which decision was made where, which check it satisfied, and how the result traces back to the requirement that asked for it. Built for work that has to answer to a regulator later.
Platform and delivery engineering
The discipline behind the agentic system comes from two decades of this: Microsoft and Azure-centric, automation-first.
CI/CD pipelines
Build, test, and deployment automation on GitHub Actions or Azure DevOps, with quality gates that mean something and a rollback path that's been tested.
Infrastructure as Code
Terraform for Azure: reusable modules, remote state, environment patterns, and a plan that shows no surprises on a re-run.
Azure automation
PowerShell and Python for the operational work (resource management, cost and compliance checks, scheduled maintenance), written to be idempotent and to fail loudly when something's wrong.
Observability
Logging, metrics, and alerting that tell you what's happening in production, with dashboards and queries built around the things worth watching.
DevSecOps guardrails
Policy-as-code and controls-as-code: security scanning, infrastructure checks, and secret-leak prevention wired into the pipeline so misconfigurations don't reach production.
A note on availability
SmoothSDLC is pre-revenue and I'm not taking on customers yet. I'm still proving the agentic system on a build of my own. This page describes what the practice covers. If you want the detail on how the agentic side works, it's written up here.