46%
of code in repositories using Copilot is now AI-generated.
GitHub, 2025
Products & Platforms
AI in your engineering workflow, without the mess.
Your developers already use AI tools. We help you choose the right ones, set up quality guardrails, and measure whether they actually make your team faster. No more guessing, no more Slack announcements that go nowhere.
Your team is already using AI. The question is whether it helps.
Half the code in many repositories is now AI-generated. Every senior developer on your team is trying some assistant. But most organisations have no idea which tools to pick, no shared standards, and no way to tell if any of this is actually making shipping faster. We fix that. We install the practices that make AI tools work properly: the right tools for your codebase, quality checks that catch what AI misses, and clear metrics so you know whether the investment is paying off.
By the numbers
AI is already in your codebase. Managing it well is the hard part.
The productivity gains are real for teams that do this properly. The waste is real for teams that do not.
55%
faster task completion for developers using AI assistants in controlled studies.
GitHub research, 2025
90%
of Fortune 100 companies have adopted GitHub Copilot.
GitHub, 2025
60–75%
of developers using AI assistants report higher job satisfaction and less frustration.
GitHub research, 2024
What you get
A practical setup: the right tools, quality checks, shared standards, and clear metrics installed in your engineering team.
Tool rollout that your team actually uses
We pick the right assistants for your codebase, set them up properly, and package the rollout so your engineers adopt them. Not a Slack message and a hope.
Quality checks for AI-generated code
Test sets, regression guards, and review processes that catch what AI misses. So speed does not come at the cost of bugs.
AI in code review and testing
Automated summaries, security scanning, and regression detection built into your workflow. Useful signals, not noise.
Shared standards across teams
Common prompt libraries, coding guidelines, and best practices that work for every team. Not personal hacks that only one person understands.
Productivity measurement that holds up
Clear before-and-after metrics: how fast are features shipping, how often do deployments break, how long does recovery take. Real numbers for leadership.
Security and compliance handled
Code privacy, output review, and access controls set up before rollout. The security review passes the first time.
Why Codino
- We measure, we do not guess. Every engagement starts with baseline metrics and ends with proof that the numbers moved. Not vendor claims, your numbers.
- Senior engineers who still ship code. The people running your rollout are the ones who know what it is like to debug AI-generated code at midnight.
- No tool religion. Copilot, Cursor, Claude Code, Cody. We pick what fits your stack, not what fits our partnership agreement.
- Your team owns it when we leave. Standards, documentation, and monitoring built in. Not a handover document nobody reads.
- EU-based, privacy by default. Code stays in the EU, access controls are strict, and your IP is protected from day one.
- Honest about what does not work. If a tool slows your senior engineers down, we say so and fix it. No pretending everything is fine.
How we deliver
From audit to AI-assisted engineering at scale. Usually 12–16 weeks for full rollout.
- 01
Audit
We look at what tools your team already uses, where the friction is, and what is actually slowing shipping down. You get a clear plan ranked by impact.
- 02
Pilot
One team, start to finish. Tool setup, quality checks, standards, measurement. We prove the approach works on real code before rolling out further.
- 03
Platform
Shared libraries, guidelines, and monitoring that let the gains spread across teams. Not just one team working better.
- 04
Scale
Rollout to the wider engineering organisation with the playbook and metrics in place. We step out with your team owning the practices.
What changes when AI tools actually work
Book an engineering auditYour team ships faster and you can prove it
Lead time and delivery frequency improve, measured against your own baseline. Not a vendor promise, your own numbers.
Code review stops being a bottleneck
Automated summaries and quality checks turn review from a waiting queue into a quick feedback loop.
Quality holds or improves
Checks and tests catch what AI-generated code misses. Speed gains do not come at the cost of production issues.
The next tool integrates smoothly
Your setup is built to absorb new assistants and models as they appear. No rebuilding everything every six months.
Calculate the impact
Plug in your team size, see the potential.
A rough but honest estimate of what proper AI tooling could free up. Adjust the sliders to your situation.
Monthly savings
€34,000
Annual savings
€408,000
FTE-equivalents freed
4.0
Assumptions and methodology
- Productivity gain is effective output increase, not lines of code. We measure it against delivery speed and quality during rollout.
- Default 20% is conservative. Studies report 30–55% on specific tasks, but organisation-wide gains are smaller.
- Total cost includes salary, benefits, and overhead. Not just base pay.
- Savings represent capacity freed for new work, not people to remove.
- Excludes tool licenses, training, and setup costs. These are scoped per project.
Selected work
Recent projects where we shipped product alongside better engineering practices.
Pathship
Pathship is a real-time learning platform that helps enterprise clients move their business forward. Backed by AI that recognizes how engaged learners are.
View Case Study
Nextbike
Nextbike is the most popular bicycle rental platform in Poland, operating in most major cities in Poland.
View Case StudyWhat Clients say about us
Todd Gibson
VP of Product
"Working with Codino has been exceptional. Their dedication to our project's success was unparalleled. From meticulous attention to detail to proactive problem-solving, they consistently exceed our expectations."
Pathship
Peter Holc
CTO
"The team showcased best practices in code quality and architecture, leading to scalable and maintainable solutions. The team was exceptionally responsive to feedback throughout the development process. Regular check-ins and review meetings facilitated an open line of communication, allowing for iterative adjustments based on our needs. They felt like our employees - they were perfectly mixed into our culture and working style."
Nextbike Polska
How we work
Our way of working with you
The principles we apply on every engagement.
- 01Listen first
We start with your workflow, not our tool list.
A workshop with your engineering team to map current tools, pain points, and what is actually slowing shipping down. You leave with a prioritised plan.
- 02Set clear goals
We define what better looks like before we start.
Baseline metrics and targets set up front. So at the end we can show whether things improved, not argue about it.
- 03Work alongside you
Senior engineers with your team.
We work next to your developers, not as a separate consultancy. Knowledge transfers as we work.
- 04Prove it first
One team running properly in 4–6 weeks.
Start with a pilot. You see whether the gains are real before rolling out to everyone.
- 05Leave you independent
Your team owns it when we leave.
Standards, documentation, and monitoring built in. So the team running it tomorrow has everything they need.
AI-assisted engineering, explained
We pick what fits your codebase, your security needs, and how your team actually works. Copilot, Cursor, Claude Code, Cody. We have used them all. We choose by testing, not by partnership.
Code privacy review, output checks, and EU-region setup by default. We help you put the policies and technical guards in place before rollout, not after something leaks.
It might, briefly. We measure this honestly and adjust until the gain is real. Senior developers with the right setup see compound benefits, not friction.
Shipping speed, deployment quality, and recovery time, measured before and after. Plus team feedback. We do not rely on vendor productivity claims.
Yes. Tool security, output review, access controls, and GDPR considerations are part of the rollout. We work with your security team, not around them.
Let's Talk About Your Project
Get In Touch
Maciej Roman|CEO & Co-founder