Duresis Labs

Building durable and resilient software systems

AI is reshaping how software is built.

We advise and support engineering teams in integrating AI without sacrificing structure, quality, or control.

Explore the tracks Express interest

We help teams bring structure to change

Duresis du-REE-sis stands for
durable and resilient software systems

For over 15 years, we’ve worked in real-world software engineering. We've seen agile adoptions, digital transformations, continuous delivery, shift-left movements and more.

We’ve seen methodologies promise acceleration.
We’ve seen tools promise productivity.

AI-augmented development is the next major shift.

The opportunity is real.
So are the risks.

AI can accelerate teams but requires responsibility and discipline.
It can just as easily accelerate architectural decay.

We work with engineering teams and technical leaders to adopt AI intentionally through advisory, workshops, and hands-on guidance.

So your systems remain durable, resilient, and maintainable long after the hype fades.

Workshop tracks

Choose the track that matches your system responsibility

Three tracks for different levels of engineering maturity: from safe habits to architectural governance.

Engineering Foundations

Code Decisions

Build strong engineering fundamentals in an AI-augmented world.

You will learn to:

  • Think test-first in an AI context
  • Use AI as a productivity amplifier — not a replacement
  • Review and refactor AI-generated code critically
  • Work in structured, quality-first workflows
  • Write prompts with clear intent and constraints
More details

Systems Integration

Project Decisions

Integrate AI into real-world workflows without losing architectural control.

You will learn to:

  • Apply diff-based and test-first AI workflows
  • Prevent regressions in AI-assisted delivery
  • Structure team-level AI usage
  • Introduce quality gates and review discipline
  • Define when AI should — and should not — be used
More details

Architect Edition

Organizational Decisions

Use AI at architectural level without sacrificing domain integrity.

You will learn to:

  • Integrate AI into Spec-Driven and DDD workflows
  • Accelerate contract-first API development
  • Generate and validate architectural decisions (ADRs)
  • Structure governance and risk management
  • Maintain architectural control in AI-accelerated teams
More details

Select a track to see full details.

Engineering Foundations

Code Decisions
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Build strong engineering fundamentals in an AI-augmented world.

What this workshop is about

Engineering Foundations helps early-career developers build disciplined, quality-first habits in a modern development environment where AI is a standard tool.

You will learn how testing, refactoring, review, and iterative delivery work together inside a professional engineering workflow — and how AI supports that workflow without replacing critical thinking.

What you will be able to do

After this workshop, you will be able to:

  • Apply TDD, BDD, and refactoring practices in an AI-augmented context
  • Review and improve AI-generated code critically
  • Use AI as a productivity amplifier, not a replacement for engineering judgment
  • Start new projects with structured, test-first workflows
  • Write targeted prompts with clear intent and constraints
  • Apply consistent, future-proof AI workflows
  • Recognize when AI should — and should not — be used

Ideal for

Developers early in their professional journey who want to build strong engineering discipline while learning how to work responsibly with AI.

Requirements

  • Basic programming knowledge
  • No prior AI knowledge required (recommended but not mandatory)

Format

  • Intensive workshop format.
  • Can be delivered as a multi-day program or tailored to your team’s needs.

Systems Integration

Project Decisions
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Integrate AI into real-world workflows without losing architectural control.

What this workshop is about

Systems Integration focuses on integrating AI into real-world software delivery without losing architectural control.

You will learn how to embed AI into existing workflows using diff-based, test-first, and review-driven practices — while preventing regressions, maintaining quality gates, and protecting long-term maintainability.

What you will be able to do

After this workshop, you will be able to:

  • Apply diff-based and test-first AI workflows in production codebases
  • Prevent regressions in AI-assisted delivery
  • Introduce quality gates and structured review discipline for AI-generated changes
  • Structure responsible AI usage at the team level
  • Define when AI should — and should not — be used in delivery workflows
  • Maintain architectural integrity while increasing development speed

Ideal for

Experienced developers and technical leads responsible for delivery, system integrity, and sustainable team workflows.

Requirements

  • Professional experience in software development
  • Familiarity with testing and code review practices
  • Basic experience using AI development tools

Format

  • Intensive workshop format.
  • Can be delivered as a focused one-day session or expanded for deeper team integration.

Architect Edition

Organizational Decisions
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Use AI at architectural level without sacrificing domain integrity.

What this workshop is about

Architect Edition focuses on integrating AI at architectural level without sacrificing domain integrity, long-term maintainability, or governance standards.

You will learn how to use AI as a system-level accelerator across specification, design, and architectural decision-making — while maintaining control over boundaries, contracts, and domain models.

What you will be able to do

After this workshop, you will be able to:

  • Integrate AI into Spec-Driven and Domain-Driven workflows
  • Generate and validate architectural artifacts (e.g., ADRs, specifications, contracts)
  • Accelerate contract-first API development responsibly
  • Use AI to support architectural refactors without introducing systemic risk
  • Establish governance and quality boundaries for AI usage
  • Recognize the limits of AI in complex domain environments

Ideal for

Tech leads, architects, and engineering leaders responsible for system coherence, long-term architecture, and organizational technical direction.

Requirements

  • Several years of professional software development experience
  • Experience with architectural patterns and design practices
  • Prior hands-on use of AI development tools

Format

  • Intensive workshop format.
  • Delivered as a multi-day deep dive or tailored strategic program for architecture teams.

Not sure which track fits? Tell us your context and we'll suggest the best starting point. Get in touch

Process

How it works

Workshops are scheduled on demand and adapted to your context.

  1. 01

    Intake conversation

    We map your team context, constraints and goals. No generic template.

  2. 02

    Context alignment

    We align on workflows, guardrails and what "durable" means in your codebase.

  3. 03

    Workshop delivery

    Hands-on sessions with real scenarios: prompts, diffs, reviews and quality gates.

  4. 04

    Optional follow-up

    Lightweight follow-up to help teams operationalise the practices.

Want to discuss your context first? Get in touch

Express interest

We schedule workshops based on demand and tailor them to your context.

Tell us about your team and current challenges.

We typically respond within 2 business days.