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Aimeice
AI Process

Six stages. Zero hand-offs.
AI at every one

What took us 8 weeks in 2023 now takes 4. Claude and GPT sit inside the workflow - not bolted on top

  1. 01
    01

    Intake & Discovery

    Turn goals into acceptance criteria. We run a 2–5 day workshop; AI drafts user stories, architecture options, and estimates while engineers challenge and refine

    • Workshop in 2–5 days
    • AI-drafted acceptance criteria
    • Fixed-cap estimate within 48h
  2. 02
    02

    AI Code Generation

    Claude and GPT scaffold modules, migrations, tests, and typed APIs. Engineers edit - they don't rubber-stamp. Your code is yours, not auto-generated slop

    • Claude Sonnet + Opus + GPT-5
    • Hand-shaped output
    • Starting point, not the finish line
  3. 03
    03

    Paired Review

    Every PR goes through static analysis, security scan, spec coverage, and an AI reviewer. A human approves before anything merges

    • Brakeman + RuboCop + Semgrep
    • AI reviewer on every PR
    • No merges without human approval
  4. 04
    04

    QA & Zero-Bug

    Automated regression, exploratory AI tests, and acceptance walk-throughs. We fix before we ship - zero-bug policy means we hold release until defects are zero

    • Headless E2E on every deploy
    • Exploratory AI testing
    • Zero P0 or P1 defects at release
  5. 05
    05

    Production

    Kamal-driven deploys, observability wired from day one. Incidents are triaged and owned, not ignored

    • Blue-green deploys
    • Error tracking + logs
    • Post-mortems for every incident
  6. 06
    06

    Continuous Learning

    Every PR, incident, and customer message feeds a project memory that tunes future prompts, tests, and prompts. The system gets smarter each sprint

    • Versioned prompts
    • Knowledge base per project
    • Retro-driven prompt tuning

Let's build what competitors can't copy

Tell us about the product. We'll respond within one business day with a scoped plan