Spec-driven AI development
AI agents write code fast, but without rules they pile up chaos just as fast. Spec-Driven Development puts the specification first — requirements, acceptance criteria and a plan — while harness engineering sets the agent’s boundaries: project context, tools, tests, linters and review. This is how we work ourselves and how we set up our clients’ teams.
What's included
- Specs and acceptance criteria as the source of agent tasks
- Agent harness: project rules, context, MCP tools, sandbox
- Automated checks: tests, linters, evals and review before merge
- Team rollout: process, training, speed and quality metrics
Technologies
Platforms
How we work
- 01
Brief and estimate
We look at the task, your current system and constraints, then name the timeline and budget and suggest how to work together.
- 02
Specification
We capture requirements and acceptance criteria in a specification — it is what we build against and how the result is accepted.
- 03
Iterative development
You see the result after every iteration; we test and fix before anything goes into a release.
- 04
Launch and support
We ship with no downtime, monitor the product after launch and stay on for support if you need it.
Cost and timeline
Hourly Rates: from 1 800 ₽ to 3 500 ₽ / hour — depending on specialist qualification.
We give an exact timeline and budget after a brief: we break down the task, fix the scope and suggest a format — a fixed plan or hourly work.
See plansFAQ
Do we have to change our stack or tools to work with AI agents?
No. We build the harness around your repository, CI and the agents your team already uses: Claude Code, Codex or Cursor. The project gets rules, context, MCP tools and automated checks, while the stack itself stays the same.
How does the rollout work and how long does it take?
We usually start with one repository and one team: we write specs for real tasks, set up the harness and checks, then extend the process to other projects. Timeline and cost depend on the size of the codebase and the team and are estimated after a short brief. You can work with us hourly or on a fixed monthly plan.
Is it safe to let AI agents into our codebase?
Agents run in a sandbox with limited permissions, with no access to production or secrets unless that is explicitly agreed. Every change goes through tests, linters, evals and review before merge. You decide which models and providers are allowed under your own policies.
Spec-driven AI development
Spec-driven development with AI agents: harness engineering so Claude Code, Codex and Cursor write predictable code in your project.