AGENTIC SDLC
Agentic SDLC
AI agents work across every stage of the cycle — specification, implementation, testing, verification and deploy — with a human checkpoint wherever the decision matters.
What changes
The whole cycle rethought — not a better autocomplete.
How it works
From intent to production, with a brake at every stage.
Foundations
A method of our own, built on proven foundations.
Our delivery ritual was born in the day-to-day of building software with agents: every gate exists because a real risk demanded it. On top of that experience, we apply the most solid practices of modern engineering — each with a precise role in the cycle.
Spec-driven development
We write the intent before the code: the specification is the source of truth that guides agents and humans alike — and what makes every delivery auditable against what was agreed.
TDD
We make the test exist before the implementation: with agents in the loop, it's the brake that keeps code from validating its own bugs — red, green, refactor, on every delivery.
Continuous quality gates
No change moves forward without passing the mechanical gates — tests, types, static analysis. It's Continuous Delivery discipline applied without exception, small deliveries included.
Human-in-the-loop
We place human oversight where it pays off: at decision points, not at every keystroke. Every checkpoint has a named owner — and nothing reaches production without a human go.
What reaches you: readable specs, verification logs and evidence for every delivery — in your project.
What changes for your project
Less faith, more evidence.
Real traceability
Every decision has a spec, a log and evidence — auditing means reading, not commit archaeology.
Review with leverage
You read intent and evidence, not three thousand lines of diff. The human checkpoint sits where it pays off.
Documentation that doesn't rot
The spec is the contract that produced the code — versioned together, updated in the same commit.
Technical honesty
When this does NOT make sense.
A two-day project.
Every ritual has a fixed cost, and a small fix doesn't justify it. When that's the case, it's what we'll say — and solve the fix the simple way.
A team that won't review anything.
An unsupervised agent doesn't accelerate a team — it exposes one. The method exists precisely because human checkpoints are part of it; without that participation, it loses what makes it work.
Expecting autonomous AI.
If the expectation is an AI that decides everything on its own, this process will disappoint — it was designed precisely so that never happens.
Frequently asked questions
What you're probably wondering.
Does this replace developers?
What changes is the nature of the work: less typing, more engineering. Intent, review and decisions remain human — and get more room, not less.
Isn't AI code worse?
Without verification, it would be — the risk is well documented. That's why nothing reaches production without tests the agent can't game, mechanical gates and human review along the way.
Does it work on an existing project?
Yes, and without demanding a rewrite: the ritual enters per feature. The first pilot runs on a real delivery from your backlog — and the result gets compared with your current process.
Who answers for what ships to production?
Always a human — with a name. The production go is an explicit checkpoint of the process, not a script running on its own.
How much does it cost?
It depends on the project. The initial diagnosis is free and comes back with scope and an investment range — any number before that would just be a guess.
How it starts
Trust is built on evidence, not promises.
Pilot on a real feature
Together we pick a real delivery from your backlog and take it through the full ritual — from spec to deploy, with every gate along the way.
You audit the process
You follow along by reading the spec, the logs and the evidence — not just the code. Trust is born from seeing the whole process, not from believing in it.
Expand to the team's flow
Once the pilot proves its worth, the ritual becomes the default path for deliveries — with checkpoints placed where your team wants to decide.
Contact
Let's understand what you need to build.
Tell us the goal and stage of your project. We'll return an honest read on the simplest path to build it well — no buzzwords.
- No commitment to start
- Free technical assessment
- Reply within 24 business hours