100+Hire AI-native engineers to ship software faster, yet with confidence
Our engineers use Claude Code, Cursor, GitHub Copilot, and Codex as part of their daily development workflow – from analyzing requirements to production support. Work with Bamboo Agile to bring best AI practices into your project.
100+software engineers and related specialists on a team
7+years of employee experience on average
4.9/5client rating based on Clutch reviews
ISO 27001information security management certification
Most teams have purchased AI licenses. Few have changed the way they build software.
When AI tools are added to an unchanged process, teams produce more code than they can check, and code review becomes a bottleneck.
Skip the trial and error by hiring engineers who have already adapted their planning, testing, and documentation to AI.
We use AI across every stage of the development workflow
Turning workshop notes into clear requirements
Drafting API specs and high-level system designs
Building clickable prototypes up to 5x faster
Writing boilerplate, refactoring with AI assistants
Completing legacy migrations in up to 50% less time
Generating test plans, test cases, and API tests
Catching security and pipeline issues before release
Getting new team members onboarded up to 40% sooner
Keeping documentation in sync with the code
AI accelerates delivery. Only engineers remain accountable for the result.
You decide how AI is used on your project, and our engineers stay responsible for code quality and correctness.
Skip the trial and error by hiring engineers who have already adapted their planning, testing, and documentation to AI.
We use enterprise-approved AI tools, agree with you which tasks involve AI, and follow your AI policy.
AI helps analyze options, while architects and team leads make the final call and are accountable for it.
Before any AI processing, we remove secrets and personal information. All engagements are covered by an NDA.
Engineers check all AI-generated code and documents. Nothing is merged without approval and passing tests.
Meet engineers who build with AI and can help your team adopt it
Sergey
Full-stack engineer
15+ years of experience
Claude Code
Codex
Mikalai
Frontend engineer
5+ years of experience
Claude Code
Cursor
Roman
AQA engineer
14+ years of experience
Claude Code
We use AI tools across most stages of our delivery process, and that experience is exactly why we’re specific about their limits.
These tools are good at boilerplate, scaffolding, test generation, and a first-pass implementation you can react to. What they don’t produce is production-ready code.
A human must stay in the loop – and that’s senior engineering work to split the whole scope to the tasks which can be delegated to AI and which can’t. Architecture, data model, edge cases and integrations are good examples of latter cases.
Why businesses choose Bamboo Agile
An external team becomes a risk when hiring, continuity, and communication are left to chance. Here is how we take that risk off your side.
We hire in two of Europe’s strongest technology markets – Estonia (our HQ) and Poland. The former is one of the world’s most digital states with ten unicorns – so local engineers are used to building global, nation-wide solutions. And Poland has one of the highest-rated developer talent pools worldwide and gives us the depth to staff senior roles quickly. Both countries are EU jurisdictions, so your contract, IP ownership, and data processing stay under EU law.
At Bamboo Agile, we know the key to fast onboarding: we handle setup, access, and integration with your repositories, tracker, and CI, so our engineers contribute to your backlog from the first weeks. Before the first sprint, they read through your documentation and codebase and map the unfamiliar parts of it. Your side of the process is limited to granting access and pointing at the first tasks. When you add people later, the engineers already on the project bring them up to speed.
If an engineer turns out not to be the right fit, we replace them at no extra cost. You tell us what is not working – technical level, communication, or how they fit your team – and we propose candidates from specialists already on our side.
Our engineers are senior enough to take ownership of their work, communicate directly with your team, and report clearly without day-to-day supervision. They break down their own tasks, make implementation decisions inside the architecture you agree on, and raise blockers in your tracker as they appear. This keeps your tech lead’s involvement at the level of direction and review.
Our engineers stay with Bamboo Agile for years, and we manage retention deliberately – through internal mobility and performance reviews. This means a developer leaving the company is not what usually triggers a change on your team. The person who learns your codebase, your domain, and your release process remains on the project through its later phases, which keeps that knowledge in-house and takes re-onboarding out of your planning. If a handover does become necessary, your product passes to a colleague who has worked alongside them, so support continues with someone who already knows the system.
Begin with a single engineer, then scale up with backend, QA, or DevOps capacity as your needs grow, or scale down if priorities shift. Additions come from specialists already working at Bamboo Agile on other projects, so you are not waiting on an external recruitment cycle for each new role. Changes run under the same contract, with the notice period agreed before the engagement starts. This lets you match headcount to your roadmap – a larger team for a release push, a smaller one for maintenance periods.
Start with a pilot sprint and assess the results yourself
Send us a short project description, and we will propose a team and a pilot scope.
Three ways to work with our AI-native engineers
Some clients need a few engineers in their team, others a full team or specialists for one specific task.
Augment your team with our engineers
They join your repositories and processes and share their AI practices through pair programming.
Hire a full-cycle development team
We assemble engineers, QA, and a delivery lead around your roadmap and deliver the product end to end.
Bring in experts for specific tasks
Engage specialists on a time & material basis for a legacy migration, AI adoption, or another defined scope.
Get a working team in four steps
1
Tell us about your product and constraints
Walk us through your roadmap, technology stack, and AI policy on a discovery call.
2
Interview shortlisted engineers
Candidates solve a task similar to yours using their AI tools.
3
Assess speed and code quality in a pilot sprint
The team handles actual tasks from your backlog alongside your developers.
4
Scale the team as your product grows
We add engineers or adjust the team’s focus as your priorities change.
Bring AI-native engineering into your development process
Describe the tasks you want covered, and we will suggest team members that better fit your project.
Our consultant
Natalia Minayeva
Strategic Partnerships Executive
They trust us
