Aviora Studio
Services

AI set up for your development team, properly

Claude Code, Cursor, GitHub Copilot or Windsurf configured for your repositories, guidelines the agents actually follow, your tools connected through Model Context Protocol and your developers trained to plan, delegate and review. Set up in weeks, with a written proposal before we start.

Illustration for AI for development teams

What we build

Coding agents are only as good as the setup around them. We configure Claude Code, Cursor, GitHub Copilot or Windsurf for your projects, write the guidelines and rules the agents follow, connect your tools through Model Context Protocol and train your developers to plan, delegate and review. Your team ships faster, and the code still passes review.

  • AI development auditWhere your team loses time, which tools fit and a plan to adopt them in weeks.
  • Claude Code and Cursor setupEditors and agents configured per project with shared rules and skills.
  • Agent-ready repositoryGuidelines, conventions, test coverage and scripts so agents produce mergeable code.
  • Custom MCP serversYour internal systems connected to the agents your team uses, with permissions you control.
  • Automated review pipelinesReview, testing and documentation agents running on every pull request.
  • Workshops and coachingTraining for developers and leads, then monthly check-ins as the tools change.

What you get

1–3Weeks to a configured team

Fast to adopt, done right.

An audit in the first week, tools and guidelines in the second, training and review pipelines in the third. Your team keeps shipping throughout.

100%Code stays in your repositories

Your rules, your accounts.

Agents run under your own accounts and policies, with clear rules about which repositories, data and services they may touch. Nothing leaves without your say-so.

1Set of rules for every agent

One source of truth.

Guidelines in AGENTS.md and CLAUDE.md, shared skills and project scripts mean every tool, and every developer, works from the same instructions.

0Pull requests without a review

Speed with a safety net.

Review agents, tests and checks run on every pull request, so more code does not mean more mistakes reaching production.

How it works

  1. 01

    Audit

    How your team works today, where time goes and which tools fit. A written plan with scope, timeline and cost.

  2. 02

    Set up

    Claude Code, Cursor or Copilot configured per project, guidelines and skills written, MCP servers connected to your tools.

  3. 03

    Train

    Workshops with your developers on real tasks from your backlog: planning, delegating, reviewing and when not to use an agent.

  4. 04

    Measure and refine

    Review pipelines in CI, usage and cost tracking, and monthly check-ins as the tools and your team evolve.

What is included

  • Tool setupClaude Code, Cursor, GitHub Copilot or Windsurf installed, configured and connected to your repositories.
  • Agent-ready codebaseAGENTS.md and CLAUDE.md guidelines, project rules, scripts and tests that let agents work safely.
  • MCP integrationsYour issue tracker, docs, database and design files connected through Model Context Protocol servers.
  • Review and CI agentsAutomated code review, test generation and release notes on your pull requests.
  • Team trainingHands-on sessions on planning with agents, prompting and reviewing what they produce.
  • Security and cost policyWhat may leave the building, which models to use and how to keep the bill in check.

Services

AI tools do not make a team faster by themselves.

A clear setup does: rules the agents follow, tools they can reach, tests that catch their mistakes and developers who know when to trust them.

The agent is new. The discipline is not.

Teams that struggle with coding agents usually skipped the boring part: no written conventions, thin tests, knowledge kept in people's heads. An agent dropped into that codebase guesses, and reviewers spend their days correcting the guesses.

We start with the boring part. Guidelines the agents read, scripts and tests they can run, integrations that let them see the issue, the docs and the schema. Then the tools, then the training. The agent does the typing; your team keeps the judgment.

FAQ

Questions and answers

Get a quote

Get a quote for your team's AI setup

Tell us about your team, your stack and what slows you down today. You get a written proposal with tools, plan, timeline and cost within one working day.

  1. 1We reply within one working day
  2. 2A short call to understand your goals and what you have today
  3. 3A written proposal with scope, timeline and cost, no obligation