Partners in delivery
AI Engineering
We help Engineering teams integrate AI into their development workflows to improve efficiency, quality and speed.
At Pragmateam, we don’t just introduce AI tools—we enable your teams to use them effectively. Our consulting, coaching and enablement approach ensures that AI enhances your development processes in a way that fits your team’s workflow and objectives.
We work alongside your engineers, DevOps and QA teams to integrate AI-assisted coding, testing and automation so they can deliver high-quality software much faster and more efficiently—without adding unnecessary complexity.
Services
How we help your team
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AI Adoption Coaching & Enablement
Empower your team to work smarter. Powered by us.
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AI-Assisted Coding & Productivity
Write better code faster with AI. Focus on what AI can’t.
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AI in Testing & Debugging
Catch bugs earlier. Automate testing and ship with confidence.
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AI-Optimised CI/CD & Predictive DevOps
Deploy smarter, detect failures sooner. Have reliable workflows.
AI Adoption Coaching & Enablement
Upskill your teams with AI best practices
Enable long-term AI adoption, not just quick wins
Embed AI seamlessly into existing workflows
We work alongside your teams to demystify AI, build confidence and embed AI-driven workflows that enhance productivity. Our tailored workshops and hands-on enablement ensure your engineers, product teams and leadership understand not just how AI works, but how to use it effectively in real-world scenarios. Whether integrating AI into development, decision-making or automation, we help your team adopt AI in a way that is practical, sustainable and impactful.
AI-Assisted Coding & Productivity
Accelerate development with AI-powered coding tools
Improve quality through intelligent automation and smart debugging
Reduce friction, allowing engineers to focus on high-value work
We help engineering teams unlock the full potential of AI-driven development, integrating tools like GitHub Copilot and Cursor to enhance speed and code quality. Through hands-on guidance, we ensure AI augments rather than disrupts workflows, allowing developers to write better code faster while maintaining control and best practices. Our approach ensures AI removes friction, automates repetitive tasks and elevates engineering efficiency without adding complexity.
AI in Testing & Debugging
Automate test generation for better coverage
Catch defects earlier with AI-powered debugging
Ship with confidence through AI-driven quality assurance
AI is transforming how software is tested, enabling teams to detect issues faster, reduce manual effort and improve reliability. We help teams integrate AI-powered test generation, smart debugging and automated quality assurance, ensuring higher test coverage with less effort. Whether optimising test suites or leveraging predictive defect analysis, we make AI an integral part of your testing culture—driving quality while accelerating release cycles.
AI-Optimised CI/CD & Predictive DevOps
Improve deployment speed with AI-powered CI/CD
Reduce downtime through predictive issue detection
Automate infrastructure management for scalability and resilience
We work with DevOps and engineering teams to infuse AI into CI/CD pipelines, enabling smarter build automation and proactive failure detection. By leveraging AI-driven observability, anomaly detection and intelligent automation, we increase deployment efficiency while reducing risks and operational overhead. Our approach ensures your infrastructure is not just automated, but adaptive—using AI to scale, optimise and predict failures before they happen.
The Right Tools, Used the Right Way
It starts in the IDE. Developers use GitHub Copilot or Cursor to generate code snippets, refactor existing logic and streamline repetitive tasks.
Code quality is enhanced with AI-powered reviews. We set up Codium or DeepCode to automate static analysis and catch potential bugs before they reach production.
Testing is accelerated with AI. Tools like Diffblue Cover generate unit tests, while TestGPT helps create high-coverage test suites that speed up validation cycles.
CI/CD pipelines get smarter. By integrating AI-powered build analysis with tools like BuildPulse, we help teams reduce flaky tests, predict failed builds and optimiSe deployment efficiency.
Monitoring & DevOps automation keeps everything running smoothly. AI-driven observability platforms like Datadog, Dynatrace, and New Relic provide predictive alerts, ensuring teams stay ahead of issues.
Every team is different, so we adapt the toolset to your existing workflows, ensuring AI-driven improvements that feel natural and frictionless.
Partners in delivery
Why Pragmateam?
✅ We embed AI into your workflows, not just your tech stack
We help your team understand how to work with AI in a way that enhances their productivity, rather than disrupting established workflows.
✅ Consulting with a coaching mindset
Our goal is not just to implement AI tools but to enable your teams to confidently adopt and sustain them over time.
✅ Pragmatic, engineering-first approach
We focus on AI solutions that drive real impact, avoiding unnecessary complexity or hype.
✅ We co-design, build, and refine with you
We work side-by-side with your team, ensuring the solutions we introduce are collaborative, practical and tailored to your needs.
“We started Pragmateam with the idea of working with like-minded people and forming strong partnerships with clients to help them deliver better.”
Juliano Bersano | Founder, Managing Director
Questions people ask about AI in their development cycle
AI-Assisted Engineering FAQs
Q: Why offshore to Brazil?
- It's where we have a trusted relationship going back over 20 years
- Good cultural match to Australia, similar style of collaboration, work and relationships
- Creative and independent thinking mindset, comfortable asking questions, challenging or suggesting better ways (rather than just following)
- Good level of English to work, communicate and collaborate with Australia
- Used to understanding a problem statement and developing solutions (rather than just coding to a spec)
- Strong work ethics and customer focus
- Large tech and agile community with high education levels
- Very high adoption of our preferred engineering practices (proportionally more than Australia, US, UK etc.)
- Lower staff turnover than traditional offshoring countries
- Fast internet and IT infrastructure (better than Australia, actually…)
Q: What about the timezone difference?
- Roles and scope are shaped to promote autonomy and ownership in the offshore team
- Our ways of working are designed to decrease dependency between Australia and Brazil
- Dependencies and high-touch activities are done by local team representatives and handed over when needed
- Teams in Brazil shift working hours to start in the afternoon and finish later at night (culturally everything happens later there anyway)
- We use 2-3 hours of daily overlap to sync onshore and offshore teams, ask for help, kick off and review work but the work itself happens independently of it
- When onboarding, we send team members to Australia for a few weeks to learn and build relationships (or if travel isn't possible, we use a longer daily overlap and facilitate onboarding activities)
- People from Brazil visit Australia regularly for a couple of weeks at a time, particularly to kick off new work whenever we can
- If you give your own local teams autonomy and ownership, do they actually need more than a couple of hours of collaboration with other teams every single day? No. Well, offshore isn't any different
Q: How to set offshore up for success?
- Scope the right work
- Get the right cultural alignment
- Set up the right team with autonomy
- Plan for some local presence
- Onboard together and collaboratively
- Shape the work into product increments
- Expect problem solving & ownership
- Recognise that a tight process isn’t optional
- Use timezone overlaps to sync (not to work)
- Amplify comms with always-on video
- Assure the quality of delivery
- Travel regularly to work together (both ways)
- Make the team part of your organisation
- Maintain governance through visibility