At Crombie, we specialize in AI software development. We embed models like Claude Code, GitHub Copilot, and Dev Agents directly into your development workflows—automating cognitive tasks, speeding up testing cycles, and generating documentation automatically.
Additionally, our Center of Excellence (CoE) ensures rapid adoption of AI solutions, with measurable results in under 30 days.
The Challenges We Tackle at Crombie
Rigid processes that make it hard to adapt quickly to scope changes
Low productivity in distributed or growing teams
Inconsistent code and growing technical debt
Difficulty in scaling without increasing your operational structure
Lack of traceability and up-to-date documentation throughout development
No test automation, leading to rework and production errors
Dependency on key experts and concentration of knowledge.
Missing security and compliance standards integrated into the SDLC
Limited visibility into technical metrics for decision-making
High maintenance costs due to inconsistent codebases
Long development and delivery times
AI Software Solutions Aligned with Your Industry
LLM-Assisted Coding
We code faster and with fewer errors by using AI Pair Programming. The AI suggests, corrects, and optimizes in real time.
Automated Refactoring and Technical Debt Analysis
We reduce technical debt by identifying bottlenecks and optimizing the code with AI agents that suggest sustainable improvements.
Automated Documentations and User Story Documentation
We automatically document processes and use cases. The AI creates living documentation and clear user stories for your team.
Test Automation with Gen AI
We implement automated unit and regression testing. The AI speeds up coverage expansion and prioritizes the most critical scenarios.
Smart Prioritization of Errors and Regressions
We identify and rank errors based on real impact. The AI helps us tackle first what’s affecting your operations more.
ChatOps: Conversational Agents for DevOps
We build conversational assistants that integrate into your DevOps cycle. They help you deploy, monitor, and resolve incidents using simple commands.
AI Agents for L1/L2 Support
We deploy AI agents to handle technical queries and internal tickets. This reduces response times and frees your team to focus on more strategic work.
AI Software Engineering Use Cases
Time-to-market reduction in complex development cycles
We help you speed up delivery times by integrating LLMs and AI Agents at key stages of the development cycle. In internal tests, we reduced onboarding time by 35% and doubled testing coverage in just 3 sprints using GenAI tools.
Technical scaling without increasing headcount
We enable seamless scaling by automating repetitive tasks such as QA, L1 support, and documentation through AI agents. This frees up your team to focus on what truly adds value, even in contexts with tight budgets or limited talent availability.
Technical Assistant for Internal Support
We created a conversational AI agent to handle frequent technical questions between developers, reducing both onboarding time and internal ticket resolution.
Generative Testing Integrated into CI/CD Pipelines
We explored GenAI tools to automate test cases and detect regressions on a regional ecommerce platform, increasing coverage without growing the QA team.
Benefits of AI Software Engineering
Reduced time-to-market with increased quality
We automate tasks and apply generative testing to accelerate deliveries without compromising stability or technical quality.
Full Visibility into the Development Lifecycle
We deliver real-time metrics and traceability so you can make informed decisions and spot bottlenecks early.
Error and Technical Debt Reduction
We use automated refactoring, best practices, and living documentation to keep your code clean and sustainable over time.
Improved Onboarding and Knowledge Transfer
We speed up the incorporation of new developers with templates, smart guides, and pairing by leveraging AI from day one.
More efficiency without growing the team
We incorporate AI agents that assist in support, QA, and coding, freeing up your team to focus on more strategic work.
Tangible AI Adoption with Real Impact
We implement AI solutions that showcase innovation and deliver visible results for your business and stakeholders.
Our Differentiators
Active CoE and Progressive Framework Adoption
We combine a Center of Excellence model with a step-by-step roadmap to incorporate AI into your SDLC without disrupting existing workflows: from controlled pilots to full-scale deploys.
Co-delivery and Knowledge Transfer
We collaborate with your team at every stage (design, development, testing), offering hands-on training and technical support so that AI adoption becomes embedded, not just another deliverable.
Real Expertise in AI Integration into the SDLC
We work with tools that adapt to your stack and processes, such as Claude, GitHub Copilot, Dev Agents, AWS Bedrock, and Vertex AI.
Reusable AI Toolkits and Prompt Library
We provide ready-to-use assets (refactoring scripts, living documentation templates, AI pair programming agents, generative testing pipelines) that speed up the implementation and ensure consistency across projects.
People-Centered and Ethical Focus
We foster a responsible use of AI to empower your teams, boost their productivity, and preserve human knowledge instead of replacing it.
Hyperscalers and Technologies that Drive Our Service
CodeWhisperer
Contextual code suggestions
DevOps Guru
Automated anomaly detection
CodeGuru Reviewer
Refactoring and performance recommendations
Duet AI for Developers
Generative assistance in the IDE
Cloud Build + AI
Release and testing optimization
GitHub Copilot
Real-time smart pairing
Azure DevOps + AI
Predictive insights in dashboards and pipelines
Flexible and Scalable Hiring Models
Capacity-BasedWe provide a dedicated team, fully committed to your project from start to finish. We ensure continuity, understanding of your backlog, and scaling quickly to help you move forward without friction.
Fixed PriceWe offer you a fixed price that covers the entire scope and deliverables defined after a thorough discovery phase. Together, we define each milestone and delivery date, giving you full cost and deadline certainty. Perfect for projects with well-defined requirements, where predictability and risk management are key.
Fixed Price per SprintYou pay a fixed amount for each agreed sprint, with clear objectives and deliverables. Maintain financial control in every iteration without sacrificing Scrum’s agility. Ideal for mature teams seeking visibility on investment and flexibility to reprioritize.
Time and MaterialsYou only pay for actual hours worked and resources used. Gain full flexibility for exploration, maintenance, or prototypes without long-term commitment. A great fit for early-stage exploration, one-off support, or evolving projects with variable reach.
Clients Who Trust Crombie
Discover how our team drives results and optimizes operations for companies across diverse industries.
All works
Frequently Asked Questions About AI Software Engineering
How is AI used in software development?AI is integrated into key tasks of the development cycle, such as code review, test generation, and automated documentation. Furthermore, it enables early defect detection, accelerates validations, and standardizes technical quality. In this way, teams deliver software faster and with less rework.
How does Crombie work with internal development teams?Crombie integrates collaboratively with existing teams, respecting already defined processes, practices, and tools. We support AI adoption through workshops, continuous monitoring, and agents trained with internal standards. As a result, the team incorporates AI without friction and with visible improvements starting in the first weeks.
How does AI improve the speed of CI/CD cycles?AI identifies errors before reaching testing, generates more comprehensive test cases, and automates repetitive validations. Moreover, it prioritizes failures based on impact and reduces false positives, thus accelerating the step from development to deployment. Consequently, CI/CD cycles become faster, more stable, and more predictable.
