At IBERANT, we have spent the last decade building software for some of Europe's most demanding clients. But the past two years have changed everything. Not because the fundamentals of engineering changed — they haven't — but because the tools at our disposal have made a quantum leap.
This is our engineering philosophy for the AI era.
The old way vs. the IBERANT way
Traditional software agencies measure output in story points and sprints. A feature takes four weeks because four weeks is what the estimate said. Velocity is tracked, deadlines are set, and "technical debt" is the polite term for everything that didn't fit.
We don't work that way.
"AI doesn't replace senior engineers. It removes everything that prevented them from doing their best work."
— Alejandro Tamayo, Founder of IBERANT Group
At IBERANT, every engineer uses Claude Code, GitHub Copilot, and custom agentic pipelines as first-class development tools. Not as shortcuts — as force multipliers for people who already know what they're doing.
What AI-augmented development actually looks like
Here's a concrete example. When we built the initial version of Waymind's semantic search indexing pipeline — a task that would classically take three weeks of engineering time — it took four days.
The AI generated the scaffolding, boilerplate, and initial implementation. The architecture, the edge cases, the production hardening: that's still human work. Senior human work.
That's the ratio we operate at: AI handles the predictable, humans handle the consequential.
Our three pillars
1. Senior expertise first
Every engineer at IBERANT holds a Computer Science degree with 5–10 years of production experience. AI tools amplify judgment, but you need judgment to amplify. Handing Claude Code to a junior developer produces different results than handing it to someone who has debugged production outages at 3 AM.
We hire for the judgment. The tools make it go faster.
2. Agentic development pipelines
We've built internal tooling that chains AI agents for common development tasks:
- Code review agents that flag security vulnerabilities, anti-patterns, and style violations before a human ever opens a PR
- Test generation agents that write meaningful tests — not just coverage padding, but tests that would actually catch the bugs we've seen in production
- Documentation agents that produce accurate technical docs from code, because accurate docs written at 3x speed are better than perfect docs written never
3. Continuous human judgment
The human doesn't disappear — they move up the stack. Instead of writing boilerplate, they're reviewing architecture. Instead of debugging syntax errors, they're spotting design flaws before they compound.
This is what 10x efficiency looks like in practice. Not magic. Not hype. A structural change in how work gets allocated between human and machine.
Why this matters for your project
If you've worked with software agencies before, you've probably experienced the rhythm: weekly check-ins, sprint demos, a Gantt chart that starts optimistic and becomes fiction by week three.
We operate differently. Here's what you get when you work with IBERANT:
- Speed that isn't fragile — We ship fast because we're amplified, not because we're cutting corners. The quality is there; it just arrives sooner.
- Senior eyes on everything critical — No junior engineers working autonomously on decisions that matter. Every architectural choice gets human review from someone who has made that mistake before.
- Full transparency — You see the code, the architecture decisions, and the reasoning behind them. We don't hide behind ticket management systems.
We're not a typical software agency. We're a team that believes the future of software development is human expertise, amplified by AI. If that sounds like what your next project needs, get in touch.