Appnetis

Process · AI-DLC

AI does the drafting. Engineers make the decisions. A senior engineer signs off.

AI-DLC is our AI-Driven Development Lifecycle. Here is exactly what AI does at each phase, what a human owns, and what you receive at the end of it — so you can check us against it.

Human-in-the-loop, always

AI drafts; engineers decide. Nothing reaches your product without a person who is accountable for it.

Quality gates, not vibes

Types, tests, review, and CI are enforced on every change. Speed never comes at the cost of the bar.

Nothing hidden

You see progress, decisions, and trade-offs as they happen, in your own repo and your own tools.

The lifecycle

Six phases, one accountable team

  1. Phase 01

    Discovery

    Understand the real problem before a line of code is written.

    AI accelerates

    AI synthesizes interview notes, surfaces edge cases, and drafts a first requirements map in hours, not weeks.

    Engineers own

    A senior engineer pressure-tests scope, names the real risks, and decides what is actually worth building.

    What you get

    • Problem statement & success metrics
    • Scope and explicit non-goals
    • Risk register with mitigations
  2. Phase 02

    Planning & architecture

    Turn the problem into a concrete, low-risk plan you can fund with confidence.

    AI accelerates

    AI drafts architecture options, scaffolds technical specs, and checks the plan against known failure patterns.

    Engineers own

    The technical lead owns the architecture and the estimate — and signs their name to both.

    What you get

    • Architecture & data model
    • Milestone plan with estimates
    • Tech decisions, with the rationale written down
  3. Phase 03

    Build — with AI guardrails

    Ship working software in tight, visible iterations.

    AI accelerates

    AI pairs on implementation, refactoring, tests, and documentation — producing first drafts fast.

    Engineers own

    Every AI-assisted change is read and reviewed by an engineer before it merges. AI accelerates; humans are accountable for what ships.

    Guardrails

    • Senior code review on every change — no unreviewed AI output reaches your codebase
    • Types, tests, and linting enforced in CI before merge
    • Patterns checked against your codebase, not invented from scratch
    • Secrets and data access scoped, least-privilege, and auditable

    What you get

    • Working software at the end of every iteration
    • Readable, documented code you own
    • A live demo each cycle — no black boxes
  4. Phase 04

    Automated QA

    Catch problems before your users ever do.

    AI accelerates

    AI generates test cases, finds gaps in coverage, and triages failures down to likely root cause.

    Engineers own

    Engineers define what 'done' means, run exploratory testing, and sign off on each release.

    What you get

    • Unit, integration & end-to-end test suite
    • Accessibility and performance checks
    • A release checklist, every time
  5. Phase 05

    Deployment

    Go live safely, repeatably, and without drama.

    AI accelerates

    AI helps author CI/CD pipelines, infrastructure config, and operational runbooks.

    Engineers own

    An engineer owns the release, the monitoring, and the rollback plan if something goes wrong.

    What you get

    • Automated CI/CD pipeline
    • Monitoring, logging & alerts
    • Runbook and tested rollback plan
  6. Phase 06

    Post-launch support

    Keep it reliable, secure, and improving as it grows.

    AI accelerates

    AI watches logs, drafts fixes, and flags dependency and security drift early.

    Engineers own

    Engineers prioritize, fix root causes rather than symptoms, and keep you informed.

    What you get

    • Clear support & response process
    • Ongoing iteration on real usage
    • Maintenance and security updates

Tell us what you're building.

A senior engineer reads every enquiry and replies within one business day. Book a call or write to us. NDA first if you prefer.