###### Why it matters

## The productivity gap is widening

AI tools are available to every development team. What separates the teams delivering faster, more reliable software is whether those tools are embedded in a disciplined process—or used ad hoc, without structure or accountability.

## 55%

faster task completion with AI assistance

*GitHub Developer Survey 2024*

## 20–45%

reduction in development time with AI-powered engineering

*McKinsey, 2024*

## 19%

of teams qualify as elite performers—and the gap is growing every year

*DORA State of DevOps 2024*

###### How we work

## Methodology first, tools second

The foundation of our AI-assisted practice is SDD: Specification-Driven Development. Requirements are defined and detailed upfront. Specifications become the immovable reference for architecture, implementation, and testing. Nothing gets built without a spec. Nothing gets shipped without validation against it.

AI tools accelerate execution within that structure—they don't replace it. The result is development that moves faster without the unpredictability that comes from skipping the fundamentals.

**SDD**

Requirements formalized before development begins, used as the foundation for every subsequent decision.

**SpecKit**

Turns requirements into structured spec.md files readable by both the engineering team and AI tools. One source of truth for the team, the client, and the AI.

**Claude Code**

AI coding assistant used for implementation, refactoring, test generation, and code review support. Engineers direct the work; Claude Code executes within the spec.

**Windsurf**

AI-powered IDE used for development acceleration, scaffolding, and integration pattern support.

**Claude Design**

Used in early-stage prototyping and UI design, compressing the time from requirements to working interface.

#### Human control at every stage

AI generates. Engineers decide. Every output goes through review, quality gates, and acceptance criteria defined in the spec before it moves forward. No black-box outputs. No code that the team can't explain, maintain, or hand over.

###### What you get

## The outcomes that matter

#### A well-documented project

Specifications, architecture decisions, and implementation logic are captured as the project progresses—not reconstructed afterward. What we hand over is understandable, maintainable, and yours.

#### Prototypes in days

AI-assisted design and scaffolding compress the time from brief to working prototype. Decisions that used to take weeks of back-and-forth happen faster—with something to react to, not just describe.

#### Faster legacy migration

Structured specs and AI-assisted code generation make legacy re-platforming more systematic. Less guesswork, clearer milestones, fewer surprises mid-project.

#### Shorter cycles, lower costs

AI tooling reduces time on well-understood tasks and eliminates rework loops—freeing engineers for decisions that require judgment, and reducing the total cost of delivery.

## Consult an expert

![Andrei Zhurauski Brimit](https://www.brimit.com/-/jssmedia/feature/blogs/authors/andrei-zhurauski-brimit.jpg?h=220&iar=0&w=220&hash=401072652B796F51C8D320BD36A227FF)

Andrei Zhurauski

Solution Architect

[Send an email](mailto:engage@brimit.com)

or feel free to call at [+31 202 41 71 69](tel:+31202417169)

## Curious how this applies to your project?

#### Tell us about your project. We'll walk you through how we'd approach it.

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