Training
Hands-on workshops and leadership sessions that help teams improve code reviews, collaboration, and day-to-day engineering effectiveness.
Consultancy, training, and research for modern engineering organizations
Engineering systems for the AI era.
Codalytics helps software engineering leaders redesign practices, code reviews, developer effectiveness, and collaboration models for AI-assisted software development.
Developer Experience
Microsoft, Microsoft Research
Former Head of Research, DX
PhD
Software Engineering
Delft University of Technology
125+
Organizations supported across industries
Trusted by engineering teams at
Microsoft BMW Wikimedia Wix National Instruments and othersBackground
Research-backed. Industry-tested.
Codalytics was founded by Dr. Michaela Greiler, a software engineering researcher and consultant specializing in developer effectiveness, code reviews, and modern engineering practice.
The company combines advisory work, workshops, and applied research for organizations that want to improve how software gets built, reviewed, and maintained.
Michaela holds a PhD in Software Engineering from Delft University of Technology, worked at Microsoft and Microsoft Research, and later served as Head of Research for DX as a consultant from the earliest stage of the company.
Her research helped shape the ideas and products that made DX a category-defining force in software engineering, culminating in its acquisition by Atlassian in 2025 at a reported valuation of about $1 billion.
Offers
Three offers, one view of how engineering systems actually work.
Consulting
Strategic support for leaders improving engineering workflows, quality practices, developer experience, and AI-era operating models.
Research
Empirical studies, assessments, and evidence-based guidance for organizations that want more than generic productivity advice.
Why now
AI-assisted development is a systems shift, not a tooling upgrade.
Engineering organizations are entering a transition period comparable to the introduction of distributed version control or cloud computing.
AI coding systems dramatically increase implementation speed, but they also change the operating conditions around quality, review, learning, and collaboration.
- Review dynamics
- Architectural consistency
- Knowledge distribution
- Onboarding
- Quality assurance
- Cognitive load
- Engineering collaboration
Traditional engineering practices are no longer sufficient. Organizations need approaches that combine empirical research, practical engineering experience, and organizational understanding.
How We Work
Flexible support for organizations, teams, and leadership groups.
Consulting
Advisory work for leaders navigating technical and organizational change.
We clarify the problem, inspect the workflow, and turn ambiguous engineering friction into decisions, priorities, and a practical path forward.
Training
Workshops, leadership sessions, and enablement programs built around real engineering practice.
Teams work through concrete examples, review habits, communication patterns, and improvement plans they can apply immediately.
Research
Research collaborations, assessments, and evidence-based work for complex engineering questions.
For questions where opinion is not enough, Codalytics brings empirical methods, careful analysis, and research translation for engineering leaders.
Featured workshop
Code Reviews: Superpower or Expensive Bottleneck?
The code review workshop is Codalytics' strongest training product: interactive, research-backed, and tailored to the review problems your team is facing right now.
Teams learn how to reduce review turnaround time, improve feedback quality, handle disagreement constructively, and turn reviews into a practice that supports quality and learning.
Hands-on
Exercises, discussion, and real review scenarios instead of lecture-only training.
Team-specific
Starts from your current workflow, bottlenecks, and review culture.
AI-aware
Addresses how review practices need to adapt as AI-generated code changes volume and ownership.
Code reviews are the highlighted workshop here, but Codalytics also offers DevEx workshops, AI-era engineering sessions, and custom formats shaped around your team's current bottlenecks.
Research areas
Studies that changed engineering practice.
A selected view into Michaela's empirical software engineering research. Across developer experience, code reviews, and testing, the work studies the human side of engineering and turns evidence into better practices.
View full publication profile
01
Developer Experience
Research that helped shape how the industry talks about DevEx today, including the research foundation behind DX and its later acquisition by Atlassian.
02
Code Reviews
Studies grounded in Microsoft engineering practice that helped move code reviews from generic quality gate advice toward a more useful socio-technical workflow.
03
Testing
Empirical work on how teams test complex systems, reduce waste, and improve quality without relying on simplistic test-more assumptions.
Selected work
Talks, writing, podcast conversations, and code review resources.
About
Codalytics: by Dr. Michaela Greiler.
Michaela is a software engineering researcher, consultant, and educator whose work focuses on code review, developer effectiveness, and the organizational side of software engineering.
She has worked at Microsoft and Microsoft Research, holds a PhD in Software Engineering from Delft University of Technology, and has spent years studying how engineering teams build, review, and improve software in practice.
At DX, Michaela served as Head of Research as a consultant from an early stage. The research she led informed the core ideas behind the product and contributed to a company that went on to shape the software engineering industry and was acquired by Atlassian in 2025 for about $1 billion.
Through Codalytics, she works directly with organizations and can also bring in trusted specialists when a project benefits from additional depth.
Work together
Bring research-backed judgment to your next engineering change.
Codalytics supports consulting, workshops, research collaborations, and specialist work for organizations improving engineering practice.
Get in touch