JAG Software
ES

Agentic software studio

Software built with agents. Engineered by people.

We build products with AI coding agents in the loop, add AI features to the products you already have, and set your team up to do the same — with plans, tests and reviews you can trust.

Services

Three ways to work with agents

Build a product with us, add AI to the one you have, or get your engineers handing real work to coding agents.

  • 01

    Agentic product engineering

    We take a product from idea to the app stores with coding agents doing much of the building and engineers owning every decision.

    • A plan in small increments you can follow
    • Every change built, tested and reviewed
    • A codebase your team can keep running
  • 02

    AI features in your product

    Assistants, planners and document flows wired in behind your own interfaces, so you can change models or vendors without a rewrite.

    • Vendor-neutral ports, not SDK sprawl
    • Evals that say when a prompt got worse
    • Costs and data handling you can explain
  • 03

    Agent-ready teams

    We set up the repo rules, increment plans, quality gates and reviews that let your engineers hand real work to coding agents and trust what comes back.

    • Agent instructions that live in the repo
    • Work that resumes across sessions and models
    • Hands-on pairing with your engineers

How we work

Agents do the work. People make the decisions.

The method behind every engagement, the same one we use on our own products.

  1. Plan in increments

    Every project is a series of small steps, each finished, tested and committed before the next, so any engineer or agent can pick up exactly where the last one stopped.

  2. Rules live in the repo

    Architecture boundaries, conventions and quality gates are written where agents read them, not in someone's head.

  3. Green or it doesn't count

    A change is done when it builds and every test passes. Failures show up in the run, and the run fixes them.

  4. People decide

    Agents propose and execute. An engineer reviews every change and owns every decision that reaches your users.

agent run · sub-increment 8.036 steps
  1. planread docs/increment_8.00.md → next pending: 8.03done
  2. editsrc/Application/EventPlanning/EventPlanner.csdone
  3. testdotnet test tests/Backend.UnitTests1 failed
  4. fixtests/EventPlanning/PlanningFreeAnswerTests.csdone
  5. testdotnet test tests/Backend.UnitTestspassed
  6. reviewdiff ready for an engineerneeds review

Work

Built this way

Our own products are where the method gets tested first.

Loa Garden logo

Case study · Own product

Loa — AI event planning

Describe the celebration you imagine and Loa's planner captures the details in conversation, previews the event and delivers a complete plan. Built with coding agents in small, resumable increments behind strict quality gates.

Role
Product and engineering, end to end
Status
In testing on Android and iOS
  • .NET 10
  • React Native
  • Azure
  • EN · ES

Contact

Let's build with agents.

Tell us what you're building or what your team is trying. You'll get a straight answer on whether agents fit.

What can we help with?

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