Our AI-native approach

We don't add AI. We build with it, from day one

This page is the honest version of how that works. No percentages we can't prove. Just the practice.

Docs first, code secondHuman review on everythingMilestones accepted on deliverables, not datesFull ownership. Always.JabFab Experience optimization platform911Switch In an emergency, be seenMeLiSA Medical simulation supportPredictr Skill-based stock prediction

A week of delivery, sketched

The headline fact

No one here writes code by hand anymore

All development at Buzzinga happens through coding agents, mostly Claude Code and Codex. That sentence sounds like hype until you see what it changes in a week of work.

Our engineers spend their day where humans are irreplaceable: understanding the problem, deciding the architecture, reviewing what ships. The mechanical work happens through agents, sometimes running long after the office empties. Verifying quality never moves to the agent. Each engineer stays responsible for what they ship.

Humans own

The problem, the architecture, the review. Responsibility never moves.

Agents carry

The mechanical work, sometimes running long after the office empties.

The practice

How a week of delivery actually looks

Five habits, in the order they happen. None of them are exotic. Together they are why the timelines hold.

01

Understand before building

Discovery produces written scope, assumptions, and risks. We design systems around real operational workflows, not just screens.

02

Docs first, code second

Every repo carries whole-app documentation in markdown: architecture, how-it-works, feature docs, personas. Agents and people both learn the product from these docs before touching the code. Right understanding builds the right thing.

03

Plan by day, build by agent

An engineer spends the day on planning and research: architecture decisions, migrations, tricky flows. Then hands implementation to agents with precise instructions.

04

Review like it's ours

Human review on everything. Design and architecture decisions never leave human hands.

05

Ship in accepted milestones

Fixed price, milestones accepted on deliverables, not dates.

What changed

Roles stopped mapping to job titles

Our designers build frontends; some products have no Figma at all, the UI is built directly with agents against hard design rules in the codebase. Engineers move across the stack. What holds it together isn't titles, it's the documentation, the design rules, and the review discipline.

Consistency was the hardest problem with agent-built UIs. We solved it the boring way: strict rules that live inside each codebase, where agents can't miss them.

What holds it together

Documentation in every repoDesign rules in the codebaseReview discipline

Why it matters to you

What the practice buys you

01

Speed you can plan around

Platform-grade scope in a fraction of the usual time, with milestones you accept on deliverables.

02

A codebase that explains itself

The docs-in-the-codebase practice means the product isn't trapped in anyone's head. Any engineer, or agent, can pick it up.

03

Systems ready for what's next

A codebase agents can navigate today is a system agents can help operate tomorrow.

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Proof in the wild

A recent example

An embedded software security company needed an internal app. There was no Figma at all. A brainstorming session covering scope and architecture went straight into development, and the demo build reached staging in weeks.

The practice above is why that timeline was normal for us, not heroic.

See more work ->

Next step

Want this practice on your product?

Tell us what you're imagining. We'll reply with an honest take on scope, approach, and whether AI belongs in it at all.

Fixed price, milestone-based. Milestones accepted on deliverables, not dates.