It is not an assistant suggesting lines while you code, nor a model working on its own. It is 30+ years of craft turned into an automated process, from working out what is needed to leaving it deployed.

What we automate is not «writing code with AI». It is the way teams with 30+ years of shipping software actually work: the methods that held up, the decisions that avoided disasters and the lessons that were expensive to learn. That process was refined over years and now runs on its own, the same on every ticket.
Understand before building, ask before assuming, test before delivering and never ship without a person approving. A model does not bring that: the process that governs it does.
Minimal change, reuse before creating, no secrets in the code and no dead code. These are craft rules written into the system, not suggestions that depend on the day.
An automated process has no bad days and no last-minute rush. The same discipline applies to the first ticket of the month and to the one that lands on a Friday at seven.
Automating the process is not about removing people: it is about taking them out of the repetition and putting them where their judgement changes the outcome.

The daily work that consumes your team today.
A ticket written in plain language becomes an implemented change, with its tests run and its change proposal opened.
There is no monthly quota and no invoice per delivered task. The pace is set by the engine, which works on one ticket at a time per component.
It runs your project's install, test and build commands, fixes what breaks and adds the tests the change requires.
Minimal change, reuse before creating, no secrets in the code, no dead code and no debugging leftovers.
It downloads the screenshots and attached documents and hands them to the agent. A screenshot of a bug is worth more than three paragraphs describing it.
If the ticket links a Figma design, the agent reads it directly instead of asking you how it should look.
A ticket only moves to Review once its change is live on staging. If the deploy fails, it tells you why.
What passed QA goes to production in a single PR per repository. If two changes clash, the AI resolves the conflict.

The part that normally requires a person to sit down and break things apart.
Mark a ticket as a feature and the system splits it into implementable tasks, each self-contained and verifiable, with their dependencies between them.
Every task in the plan becomes a real ticket in your tracker, linked and ordered by dependencies, with a published index of the plan.
A newly created plan does not start on its own: it waits for you to approve it.
A business-language summary so the owner can approve it without jargon, and the full technical plan as an attached document for whoever implements it.

A product in its own right, and the best way to know what you are building on.
Discovery, architecture and quality, security, data, testing and performance, infrastructure, maintainability, product, trust and AI. Run them all or pick the ones you need.
Exact location by file and line, evidence, impact, root cause, a concrete remediation and how to verify it was fixed.
The score is calculated with a fixed formula, not invented by a model. Two reviews of the same code give the same number.
Findings are classified by degree of certainty, and only the confirmed and likely ones count against the score. What could not be checked is declared as such.
The report orders findings into time brackets and points out the quick wins. Each finding becomes a ticket with one click.
The auditor cannot write to your code. It is not a promise from the system: it is a technical restriction on the tools it is allowed.
It shows how close you are, control by control, to SOC 2, ISO 27001, PCI DSS, HIPAA and GDPR. It is not a certification: it is what can be verified in the code.
A one-time audit, no subscription needed, from $800. It includes a month of the orchestrator to close the gaps it finds.

The system keeps an eye on your project and fixes what wears out.
Security and vulnerabilities every week, performance every three days, dependencies, quality and tests every two weeks, duplication and debt every month.
It reads the real errors in Sentry and turns the ones that repeat into tickets, which it fixes like any other. If you don't have Sentry, it installs it.
Findings arrive as proposals you approve, or go straight to work with a daily cap you choose.
Over 40 prepared jobs: tests, dependencies, dead code, documentation, accessibility, translations, security and performance. Each audit finding suggests the one that fixes it.
Every analysis has a spending cap, and if it reaches it, it delivers what it found up to that point instead of losing it.

Almost no product lives in a single repository.
One project can have its backend, its admin panel, its website and its mobile app, each with its own commands and its own branch.
Several components inside a monorepo plus an app in its own repository. The engine clones each repository only once.
A change that touches several pieces is divided into subtasks and run in dependency order: first what exposes the interface, then what consumes it.
When the change crosses components, it first settles which endpoints and which data are exchanged, so the parts fit together.
Pick the stack for each component and the first ticket builds the scaffolding: from there, your tickets build the product.

If your column is called Testing instead of Review, the system adapts to your board instead of imposing its own.
It works with its own board out of the box, or with Linear or Jira. It creates the states, labels and templates it needs, without duplicating anything.
Spanish, English, French and Italian. The agents talk to you, comment on tickets and send alerts in your project's language.
A ticket can have a start date and time, in your time zone, and repeat every day, week or month. If the model runs out of quota, it retries on its own.
If you deploy on your own, the system recognises what is already in production and closes those tickets. It never reverts or reopens anything.
By commenting on the ticket, through Telegram or from the portal. Everything ends up in the same place: the ticket thread.
Write the rules every ticket must follow. It also reads the instructions already in your repository.

For agencies and teams that build for others.
Your clients see your name and logo in the portal, emails, receipts and request form.
They describe what they need, no account required, and it lands on your board.
One-off payments and subscriptions through your own Stripe account, with receipts in your name.
Owner, manager and collaborator, project by project.
When the work is done, transfer the project to your client with everything set up.
Duplicate a project or start from one you already configured.

What we are building. It appears here because it is decided, not because it sounds good.
Having the work done produce documentation of the process and answers to the questions that came up along the way, without anyone sitting down to write them.
Having everything learned on each ticket feed the next one: more accumulated context, fewer assumptions. The asset grows with every task delivered.
Turning what was built into material your own users can read, not just your technical team.
Letting someone without a technical background describe the symptom in a conversation while the system drafts the actionable ticket, asking for what is missing before creating it.
Starting before the first ticket: from an idea or a design to the project scaffolding and the first product up and running.
Seven days free. The best way to know what it can do for you is to give it something to do.