AI SDLC

Ship more per sprint. Without lowering the bar.

Most teams bolt AI onto one step and call it a transformation. We rebuild the entire software development lifecycle around it: planning, architecture, code, tests, review, documentation and release, each accelerated by AI and each owned by a senior engineer.

The whole lifecycle, AI-native. We rebuild how your software is planned, written, tested and shipped around AI, with senior engineers directing it, so you get more product per sprint without lowering the bar.

  • AI woven through every stage
  • Senior engineers direct, review and verify
  • Specs and tests generated with the code
  • Your code and data stay yours
  • Up to 10x faster to MVP
  • Set up in your tools and pipelines
  • Directed, not automated. AI does the building; our engineers set the architecture, review every change and own the quality. You get the speed of AI with the judgment of a senior team.
  • Every stage, not just the editor. Requirements, design, tests, docs and release notes are generated alongside the code and kept in step with it, so the whole lifecycle moves at once.
  • Safe by design. Your source and data stay in your accounts. We agree which AI tools touch what, and nothing crosses the boundary you set.

How we actually run AI on a real team: Field notes on what changes when AI agents join senior engineers: what gets faster, what still needs a human, and how we keep quality high.

What the lifecycle looks like

One continuous flow from idea to running software, with a senior engineer accountable at every step.

  • Discovery and planning. We turn goals into a shippable plan, with scope, architecture and risks mapped before the first sprint.
  • Architecture and scaffolding. A clean, modern foundation stood up fast, built on the patterns your team will live in for years.
  • Build and test together. Features arrive with their tests and documentation, reviewed by a senior engineer before they merge.
  • Continuous review. Every change is read by a human and checked against your standards, security and performance included.
  • Release and observe. Automated pipelines, feature flags and monitoring, so you ship often and know at once when something is off.
  • Knowledge that compounds. Every lesson is written down next to the code, so each sprint starts from everything learned before.

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