AI-Augmented Software Engineering

We integrate AI Agents and LLMs into your development cycle to deliver digital products that are more accurate, faster, and more efficient.

Today, companies are not only looking to reduce costs, but also need to demonstrate efficiency, accuracy, and speed in software delivery. In a market where traditional development is no longer enough, integrating Artificial Intelligence into the Software Development Lifecycle (SDLC) has become a new competitive advantage.

That is why at Crombie, we integrate models such as Claude Code, GitHub Copilot, and Dev Agents directly into the development workflows. This allows us to automate cognitive tasks, accelerate testing cycles, automatically generate documentation, and streamline DevOps processes. Additionally, we operate with a Center of Excellence to ensure the adoption of solutions in a more responsible, safe, and scalable way.

The challenges we tackle

Rigid processes that make it hard to adapt quickly to scope changes

Dependency on key experts and concentration of knowledge.

Low productivity in distributed or growing teams

Missing security and compliance standards integrated into the SDLC

Inconsistent code and growing technical debt

Limited visibility into technical metrics for decision-making

Difficulty in scaling without increasing your operational structure

High maintenance costs due to inconsistent codebases

Lack of traceability and up-to-date documentation throughout development

Long development and delivery times

No test automation, leading to rework and production errors

Software solutions aligned with your industry

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LLM-Assisted Coding

We code faster and with fewer errors by using AI Pair Programming. The AI suggests, corrects, and optimizes in real time.

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Automated Refactoring and Technical Debt Analysis

We reduce technical debt by identifying bottlenecks and optimizing the code with AI agents that suggest sustainable improvements.

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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.

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Test Automation with Gen AI

We implement automated unit and regression testing. The AI speeds up coverage expansion and prioritizes the most critical scenarios.

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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.

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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.

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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-Augmented Software Engineering Use Cases

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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.

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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.

Recent Pilots and Exploring

From our Center of Excellence, we run pilots with internal teams and clients to test real solutions and measure their impact before scaling. These initiatives take place in real-world environments, alongside leading clients in the financial and retail sectors. References are available under NDA.

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

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.

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.

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.

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.

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.

Hyperscalers and technologies that drive our service

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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

iconCapacity-Based
We 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.
iconFixed Price
We 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.
iconFixed Price per Sprint
You 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.
iconTime & Materials
You 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.