AI agents write, test and review the code. Engineers own the decisions at every step, and every change is traceable from requirement to release.
Advertisers see all their sponsored videos grouped into campaigns, with performance data for each campaign.
Illustrative example of one feature moving through the process. Names and figures are scripted, not client data.
01 / 02
Our client runs a FinTech / LegalTech product that helps fund and manage class action litigation – a domain where correctness and auditability are non-negotiable. We rebuilt the delivery process around agentic engineering: spec-driven AI coding, Test-Driven Development (TDD), and automated quality control on every change. Every PR gets an AI review; higher-impact changes also go through human review, so engineers focus their attention where it matters most.
Below is the impact of AI-driven delivery, comparing Q2 2026 with the start of Q3 2026.
Delivery throughput
Before
7.5 PRs merged / week, 959 batch size
After
20.8
PRs merged / week, 1378 batch size
Result: 4x more code delivered – with every PR still tested and reviewed
Time to first review
Before
32h
After
9.2h
Result: Reviews start 3.5x sooner, so AI coding never outruns human oversight
Cycle time
Before
7.7 days
After
2.7
days
Result: 65% less time from first commit to merged PR
Lead time
Before
15 days
After
10
days
Result: 33% faster from PR to production – predictable AI-based software delivery
Our client is a Polish YouTube media channel that partners with sponsors. They asked for a platform built from scratch where the channel team runs its video library and brings advertisers on board. Each advertiser gets their own login, groups sponsored videos into campaigns, and sees views, watch time, retention and audience data straight from YouTube Analytics. Our team was one developer and a part-time PM, and they started on day one with a ready-made AI engineering environment, so the work went straight into product features instead of tooling.
Delivery time
Planned
4 weeks
Actual
1
week
Result: the whole build fit into one sprint, a quarter of the estimate
Scope
5 epics planned. By Friday, 4 were done and the 5th was in testing.
Result: admin panel, advertiser accounts, campaigns and analytics, all shipped in five working days
Team
1 full-time developer and 1 part-time PM, working with AI agents.
Result: design, frontend, backend and YouTube integration, all covered by two people
Client confidence
A working product was in the client's hands by the end of the first week.
Result: trust earned through a delivered product, not a slide deck
The question it answers
Is this worth building?
Investment
€6,000
fixed
Timeline
2 weeks
Book a call
Who it's for
Founders and product teams who need proof the idea works as software before committing budget.
The goal
Validate the concept in working code
What you get
One core user journey, fully working, built on production-grade architecture
Starting point
A fresh codebase, or a single new flow inside your existing product
Who uses it
You and a design partner
Comes in the next stage
Public signup, payments, admin panel, mobile apps
The question it answers
Will people use it – and will someone fund it?
Investment
From
€20,000
Timeline
From 6 weeks
Book a call
Who it's for
Founders and companies launching a new product who need real users, a pilot customer, or a stronger case for funding or budget approval.
The goal
Put a usable product in front of users or investors
What you get
The smallest product people can genuinely use
Starting point
A new product, or the first usable version of an existing one
Who uses it
Early adopters or a pilot customer
Comes in the next stage
Every user role, full back office, scale hardening, native apps
The question it answers
Can we operate this with paying customers?
Investment
From
€50,000
Timeline
From 12 weeks
Book a call
Who it's for
Companies that need the system their business will run on, day in, day out.
The goal
Run your business on software built to last
What you get
The agreed feature set, production-ready for your first customers
Starting point
A new product, or the production-ready version of a system you already have
Who uses it
Your first customers, in live operation
Available separately
Ongoing development, on-call support
