CASE 01 · GLOBAL RETAIL
Heineken

Generative AI to accelerate delivery by 50%

We embedded Claude, ChatGPT and Copilot into our development flow, shipping a 3-month project in 1.5 with half the team.

50%
time reduction
4 → 2
team optimized
3 → 1.5
delivery months
System view — Heineken
FIG. 01 · SYSTEM VIEW
IN PRODUCTION · 2026

System delivered to Heineken — in production.

About the project

How we solved it

Initial challenge: optimize development time without compromising software quality.

Solution: we embedded generative AI into our engineers' daily flow. Precise prompts generate structured, functional code blocks; developers review, adapt and improve the output. AI automates repetitive tasks and frees the team to focus on high-value critical work.

Measurable results:
- 50% reduction in development time (from 3 months to 1.5).
- Team reduced from 4 to 2 developers with no impact on performance.
- Higher quality in less time, with validation and refinement of AI-generated code.

At Hypernova Labs, AI doesn't replace developers: it amplifies them. We optimize staffing, scale resources by complexity, and catch defects before implementation.

Stack

Technology chosen to last

Nothing exotic. Everything we run in production has to be boringly reliable.

Tech · 01
Claude
Tech · 02
ChatGPT
Tech · 03
GitHub Copilot
Tech · 04
IA Generativa
The result

We embedded Claude, ChatGPT and Copilot into our development flow, shipping a 3-month project in 1.5 with half the team.

50%
time reduction
4 → 2
team optimized
3 → 1.5
delivery months

Does your operation need something that runs itself?