Products & Platforms

Custom applications, built to survive growth.

We design, build and ship web and mobile applications with modern stacks. AI features go in where they genuinely make a difference. From architecture to launch to operations, with senior engineers owning the whole journey.

Software you can grow on, not patch around.

Half the products we're asked to extend were never built to grow. Tight deadlines, junior teams, no architectural opinion. Three years later, every feature is a fight against the codebase. We build to last. Senior engineers, opinionated architectures, real test coverage, observable systems. AI integrated where the data and the use case justify it, not because it's on a slide. The team that ships the first version is the team that operates it; the team that operates it designs for the team that takes over.

How we engage

Our way of working with you

What we actually do on every engagement, regardless of stack, model or scope.

  1. 01
    Map the real product

    We start with your business, not our favourite stack.

    Workshop with your team to map the real product, the users, the constraints and what breaks first. You leave with a concrete first slice ranked by impact.

  2. 02
    Define "good" upfront

    Success is measurable before code is written.

    We agree on KPIs, target metrics and acceptable trade-offs at the start. So at handoff we can prove value, not argue about it.

  3. 03
    Work alongside, not apart

    Senior engineers in your team, not a separate squad.

    We work next to your engineers, designers and product people. Your team learns the system as we build it.

  4. 04
    Ship a narrow slice fast

    First working version in users' hands in 3 to 6 weeks.

    A narrow, fully wired slice against real users. You see whether the value is real before scaling the investment.

  5. 05
    Plan our exit from day one

    Your team owns it the day we leave.

    Documentation, runbooks, CI/CD, observability. Built so the people running it tomorrow are not the ones who wrote it.

By the numbers

Software shapes the business, but most projects miss what makes it durable.

The gap between idea and a system that survives the next round of growth is wide. The data tells the story.

70%

of digital transformations fail to meet their objectives. Usually due to execution, not strategy.

McKinsey, 2023
$2.41T

annual cost of poor software quality in the US alone, driven by rework, downtime and security incidents.

CISQ, 2022
~30%

of engineering capacity in average organisations is spent maintaining legacy systems instead of building new value.

Forrester, 2024

more frequent deployments for teams with solid delivery practices vs. those without.

DORA, 2023

What you get

A full product-engineering capability, from design to launch to operations, with AI integrated where it earns its keep.

Architecture that scales with the business

Opinionated, documented system design that survives growth. Built so the second feature does not cost twice as much as the first.

Web applications on modern stacks

Next.js, React, TypeScript, Node, Go, Python. Picked for fit, with type safety, real test coverage and observability baked in.

Mobile apps that share the same brain

iOS, Android and React Native, with shared business logic and design systems so platforms do not drift.

AI features where they actually matter

Search, summarisation, classification, generation. Integrated against real data, with evaluation and guardrails. Not bolted on for a press release.

A CI/CD pipeline you sleep through

Automated tests, preview environments, progressive rollouts, observability. Deployments are routine, not events.

Operations from day one, not after the first incident

Logging, metrics, alerts, on-call runbooks. Designed in with the system, not retrofitted when something breaks.

What Clients say about us

Todd Gibson

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

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 deliver

From product discovery to a system in production. Phased so each phase delivers value.

  1. 01

    Discover

    Product workshop with your team. We map the user, the value, the architecture, the constraints. You leave with a concrete first slice and rough cost envelope.

  2. 02

    Design

    Architecture decisions, UX prototypes on real flows, data model and integration plan. Approved before code is written so we are not rebuilding mid-flight.

  3. 03

    Build

    Senior engineers shipping fortnightly, with preview environments, real test coverage and a working product in your hands every two weeks.

  4. 04

    Launch & operate

    Production launch, monitoring, on-call handover and a runbook your team can use. We stay through stabilisation and step out clean.

What changes when product engineering is senior

Talk about your product

Features ship without a fight against the codebase

Architecture and test coverage that lets your team add the next feature in days, not sprints.

The team that ships is the team that operates

No throw-it-over-the-wall handoff. Operations are designed in, with the people who will own them.

AI features survive contact with real users

Evaluation, guardrails and observability so the LLM-powered feature in the product does not become the embarrassing demo six months later.

Engineering hires onboard faster

Documented architecture, clean code, real test coverage and observability. New hires ship in week one, not month three.

Where we build

Sectors where the right product engineering decision compounds, and the wrong one accumulates technical debt for years.

SaaS & B2B platforms

  • Multi-tenant architectures with strong isolation
  • Self-service onboarding and billing
  • In-product analytics and reporting
  • AI-powered features integrated against customer data

Custom application development, explained

Yes. Product design, UX, design systems, and visual design are part of most engagements. We collaborate with in-house design teams where they exist and bring the whole capability where they do not.
Next.js, React, TypeScript, Node, Go, Python, Kotlin, Swift, React Native on the application side. PostgreSQL, MongoDB, Elasticsearch, Redis for data. AWS, GCP and Azure for cloud. We pick what fits and never push a stack the team cannot maintain.
That is how most engagements run. We bring senior engineers alongside your team, share the production discipline, transfer knowledge as we go and step out cleanly when your team is ready.
Same as any other feature: with real evaluation, guardrails, observability and a measurement plan. AI is a tool, not a goal. We integrate it where the data and the use case justify it, and skip it where simpler approaches win.
Right-sized infrastructure, autoscaling tuned to real traffic, FinOps practices and observable cost dashboards. We measure cost-per-feature alongside performance from day one.

Why Codino

  • 10+ years shipping production systems. Not MVPs that never see real load.
  • Senior teams. Every engagement led by engineers who have launched and operated systems at scale.
  • EU-based with EU data residency and GDPR-compliant delivery by default.
  • Design and engineering in one team, so handoffs do not lose intent.
  • Stack-agnostic. Chosen for fit, not for what we sold last quarter.
  • We design our exit. Your team owns the system the day we leave.

Let's Talk About Your Project

Get In Touch
Maciej Roman|CEO & Co-founder