AI by product phase · Build

The AI writes. The engineer signs.

We use agents for the mechanical work and senior judgement for what decides. No merge goes in without human review, no release ships without tests. That is how the timeline compresses without inheriting debt.

Where it hurts

Speed with no system.

01

Prototypes that never reach production.

What was generated fast stays outside review, security and deployment. It never gets used.

02

Hidden debt.

Deliveries with no tests and no documentation. The next team starts from zero.

03

Supplier dependency.

With no access to the repository or the infrastructure, every change goes through the till.

What we do here

Four concrete deliveries.

Deliveries every one or two weeks, on your infrastructure, with the team watching real progress.

  1. 01

    Development with supervised agents

    The agents produce code and tests; the engineer reviews, corrects and signs every merge.

  2. 02

    Tests and an agreed threshold

    Unit, integration and end-to-end. The pipeline blocks the deploy if coverage drops.

  3. 03

    CI/CD on your infrastructure

    Vercel, AWS, GCP or self-hosted. Automated deployment from day one.

  4. 04

    Your repository from day one

    Code, history and licence clear. No lock-in, no conditional access.

What you get
How it applies here · No case of our own yet

What we bring from what is already running.

What backs this phase is the six products in production: ADG, Buscafact, Eco-Impacto, Squlp, Smart Build and Match Prácticas are built exactly like this — agents for the mechanical part, senior judgement for what decides, no merge without human review. It is the part of the method we can show most of, because the result is deployed and can be opened.

Highest-impact use cases

  1. 01

    Agents for the mechanical, humans for what decides

    Scaffolding, repetitive tests and migrations are generated by an agent. Architecture, review and delivery are signed by an engineer.

    Compresses the calendar without inheriting debt.

  2. 02

    Test threshold agreed in writing

    Coverage is agreed before starting and CI enforces it. It stops being a promise and becomes a merge condition.

    Quality stops depending on Friday deadlines.

  3. 03

    CI/CD on your infrastructure

    Deployment runs in your accounts, not ours. The day we leave, nobody walks away with the key to turning the product on.

    No operational vendor lock-in.

  4. 04

    The repository is yours from day one

    Code, history and decisions in your organisation from the first commit. There is no final handover because it was never not yours.

    Owning the code stops being a promise.

See the products that are in production
Services involved

What it is built with.

Related reading

Before you call us, read this.

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    How much does custom software cost for a company? Real ranges and what it depends on

    The question always arrives the same way: "how much would it cost me?". And the honest answer is "it depends", but it depends on concrete, measurable things. These are the real ranges for custom software in 2026 and the factors that genuinely move the budget.

  2. Guide · 9 min

    Signs your company needs custom software (and not another spreadsheet)

    A spreadsheet does not fail all at once: it gets too small little by little. Copy-paste errors, "the good version", information in one person’s head, hours repeated every week. These are the concrete signs it is time to move to custom software, and when it still is not worth it.

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Tell us what costs more than it should. We come back with a concrete plan, realistic timelines and a clear yes or no.

contacto@plantekia.com