AGENTIC SOFTWARE DEVELOPMENT

Software development,
the new
way._

Two experienced software developers plus the implementation capacity of AI agents. We design, build and ship applications, integrations and digital services efficiently — without compromising on quality.

Seniors design. Agents implement. We’re accountable.

dudes / production
01const plan = seniors.scope(goal);
02await agents.implement(plan.tasks);
03await humans.review();
04release("production"); ▌
01 / WHAT WE BUILD

What we build.

New applications, integrations, continued development of existing systems and AI projects taken to production. We use AI agents to build your software — and, when it makes sense, we build agents into your product.

Explore our services ↗
02 / WHY DUDES

A small team. A new way to build.

Small-team efficiency. AI agent capacity. You work directly with experienced developers. AI agents help with implementation, testing and automating repetitive tasks, so we can spend more time on the important decisions and on making sure the finished software works. Price and schedule are always set by the actual scope of the work.

01

Direct access to the builders.

You talk to the people who build it. No account managers, no hand-offs.

02

Agents support implementation.

Work is split into bounded tasks that agents implement and test, in parallel where dependencies permit.

03

Code is reviewed and tested.

Every change goes through version control, human review and tests suited to its risk.

03 / HOW IT WORKS

How do AI agents change software development?

In traditional development, much of the time goes into implementation, investigation and repetitive tasks. We split the work into clear pieces that AI agents can implement and test. Senior developers set the direction, review the changes and are accountable for what gets released to production.

Inside our process ↗
SENIOR DEVELOPER / ARCHITECTScope · architecture · security · review · release
agent/01Frontend↳ builds the UI & forms
agent/02Backend↳ APIs, data model, auth
agent/03Integration↳ talks to Stripe, CRM, ERP
agent/04Tests↳ writes & runs the checks
agent/05Codebase analysis↳ maps existing code
agent/06Documentation↳ README, runbooks, handover

Agents run in parallel where dependencies permit. They don’t make production decisions.

  1. 01Goal & scope
  2. 02Architecture
  3. 03Bounded agent tasks
  4. 04Pull requests
  5. 05Human review
  6. 06Tests
  7. 07Release & monitoring
04 / QUALITY & ACCOUNTABILITY

Agents implement. We answer for the result.

AI models make mistakes, and so do people. Our process is built to catch them before your users do: human review, tests suited to the risk and validation before release.

See what “done” means ↗
DEFINITION OF DONE
✓Every change in version control and reviewed by a human01
✓Test strategy fitted to risk; critical paths verified02
✓Authentication and data handling assessed where relevant03
✓CI and deployment validation where applicable04
✓Monitoring, handover, documentation, access ownership and rollback as contracted05
✓Written agreement on what code and data may be exposed to AI model providers06
BOUNDED BUILD SPRINT

One week. One clear problem.

We pick one clear problem and agree the week’s goals in advance. We build a bounded solution or technical experiment and review the results together. Before we start, we agree the deliverables, acceptance criteria and possible next steps.

5 000 €+ VAT · one week, fixed price
Tell us about your project↗Pricing & ways to work ↗Scope agreed together in advance.
05 / WHO WE ARE

Two senior developers. A new way to build.

We’ve been building software long before AI could write it. That’s why we know when the AI is wrong.

Dudes is an agentic software development studio run by two senior developers. We combine engineering experience, small-team efficiency and AI agents for implementation. You work directly with the people who build your product.

More about us ↗
05 / FIELD NOTES

Less hype. More how.

All insights ↗

What is vibe coding, really?↗

A useful way to build faster. A terrible excuse to skip engineering.

Generated isn’t done. Verified is.↗

What we look for before AI-written code reaches production.

Your MVP needs a smaller scope.↗

The fastest route to a first release starts with what you leave out.

FAQ

Fair questions.

Do you really use AI for almost everything?+

Yes. From planning and coding to tests and debugging. That doesn’t mean every generated line gets into production. We stay responsible for the result.

Is AI-generated code safe?+

Safety depends on the engineering process. We review authentication, permissions and data handling, test critical paths, and validate changes before release.

What if the AI gets it wrong?+

It will. That’s why we verify against documentation, run the code and test the result. A confident answer isn’t evidence.

Can you work with our existing codebase?+

Absolutely. Whether it came from Lovable, a freelancer or your own team, we review what exists, keep what works, add tests and modernize one part at a time.

Do you only build prototypes?+

No. We build production software too. A prototype proves an idea; a production release also needs security, testing, monitoring and ownership.

Tell us what you want to build.

A rough idea is enough. We’ll work out the scope together.

Tell us about your project↗