DUDES / AGENTIC SOFTWARE DEVELOPMENT

AI software development. Agents build. Seniors own it.

AI software development at Dudes means two senior developers design the whole system and orchestrate several specialised AI agents in parallel. A small team with a big team’s implementation capacity. Architecture, security, quality and the release stay with humans.

WHO IT’S FOR

Is this you?

↗01

Companies buying software development

You want to know what actually happens when the work is done with AI agents — and who is responsible for the result.

⌘02

CTOs with a full backlog

Your team is good, but capacity runs out. We bring seniors and agent capacity to deliver a bounded piece of the roadmap.

⇄03

SaaS companies

A feature or integration needs to reach production fast without stalling your own roadmap.

THE TYPICAL SITUATION

What happens when you buy software development from us?

In a traditional software house, capacity grows by adding people: a project manager, an architect, more developers, a tester. Coordination grows at the same rate.

With us, capacity grows with agents. A senior developer breaks the work down, hands agents bounded tasks and reviews the results. One agent can build the integration while another writes the tests. The senior keeps the whole thing in hand.

HOW WE SOLVE IT

Who does what

01

Seniors decide

Architecture, technology choices, scope, security and what gets released. None of these are the agent’s call.

02

Agents implement in parallel

Frontend, backend, integrations, tests, codebase analysis and documentation move at the same time as separate, reviewable tasks.

03

Review before merge

Every change goes through senior review. A second model can act as an extra reviewer, never as the final authority.

04

Tests and production

Automated tests, type checks and testing against a real environment. Releases include monitoring, logs and a rollback plan.

HOW THE WORK MOVES

Senior plans. Agents build. Humans verify.

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
WHAT WE CAN BUILD

Where this way of working fits best

  • ↗ New web apps and SaaS products
  • ↗ Internal tools and admin panels
  • ↗ API integrations and data flows
  • ↗ Continuing existing codebases
  • ↗ Adding test coverage to old code
  • ↗ Codebase mapping and documentation
TECHNOLOGY
  • Claude Code
  • Codex
  • Claude · GPT · Gemini
  • Git & pull requests
  • CI/CD
  • Static analysis
  • Browser tests

We pick the stack per project. These are common choices, not a menu.

QUALITY & SECURITY

Generated isn’t done. Verified is.

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 ↙
✓A senior owns the architecture and the release decision01
✓Every change in version control and reviewed02
✓Automated tests and type checks03
✓Data handling and model use agreed per project04
PRICING & ENGAGEMENT

How do we get started?

Three ways to start: a fixed-price bounded build sprint (€5,000 + VAT for the first week) for a bounded problem, an MVP project from idea to first release, or seniors plus agent capacity embedded in your existing team.

5 000 €+ VAT · one week, fixed price
Start a build sprint↗Pricing & ways to work ↗
PRICING

A small team, clear pricing and efficient delivery.

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.

Prices + VAT. The actual effort is agreed per scope. See pricing ↗

FAQ

Fair questions.

Does AI replace developers?+

Not here. AI adds implementation capacity. Someone still decides what to build, how to build it safely and when it’s done. That someone is a senior developer.

Is AI-written code safe?+

Safety comes from the process, not from who typed the code. We check authentication, permissions and data handling separately and test the critical paths.

What data gets sent to the models?+

That’s agreed up front. Sensitive data isn’t sent to a service just because it’s convenient. Where needed, we use private infrastructure or local models.

Is this faster or cheaper?+

A small team with agent implementation capacity is often efficient, but we don’t promise a specific saving or timeline up front. Price and schedule are always set by the actual scope of the work. We show progress as working software, not status reports.

FURTHER READING

Read before you buy.

LET’S MAKE IT REAL ↙

Let’s work out what’s worth building.

Describe the problem or show us the current repo. We’ll figure out where to start.

Tell us about your project↗