Prototypes that never reach production.
What was generated fast stays outside review, security and deployment. It never gets used.
AI by product phase · Build
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.
What was generated fast stays outside review, security and deployment. It never gets used.
Deliveries with no tests and no documentation. The next team starts from zero.
With no access to the repository or the infrastructure, every change goes through the till.
Deliveries every one or two weeks, on your infrastructure, with the team watching real progress.
The agents produce code and tests; the engineer reviews, corrects and signs every merge.
Unit, integration and end-to-end. The pipeline blocks the deploy if coverage drops.
Vercel, AWS, GCP or self-hosted. Automated deployment from day one.
Code, history and licence clear. No lock-in, no conditional access.
Owned by the client, clean history, no opaque dependencies.
Run on every commit, with a minimum threshold in writing.
README, architecture and runbook updated on every release.
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.
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.
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.
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.
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.
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.
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.
Not sure where to start? Measure your organisation’s AI maturity for free in 3 minutes, or book 30 minutes of direct diagnostic.
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