CodeScene, a leader in flow-centric code analysis, will integrate with Conflux's renowned Adapt Together™ methodology to drive the development of adaptive, high-performing organizations.
Matthew Skelton, CEO of Conflux and co-author of the award-winning book Team Topologies, says, “We’re excited to be the first global CodeScene Accelerator Partner and look forward to accelerating the adoption of Team Topologies and other flow-centric methods with our mutual clients.”
Adam Tornhill, our founder and CTO of CodeScene, adds, “Few understand how to implement fast flow better than the experts at Conflux. Their tailored approach to CodeScene delivers crucial insights and feedback more rapidly.”
CodeScene helps organizations evaluate team structures within the context of their software architecture, shining a light on the people side of code
The intersection between people and code is an often-overlooked aspect of software development, but CodeScene makes it visible and manageable.
One of the great challenges in software design is that the people who build the system are often invisible in the code itself. As a result, we tend to underestimate the impact of misaligned software architecture relative to team structure, which can result in poor code quality and communication challenges, such as frequent merge conflicts and long lead times.
CodeScene addresses this by bringing visibility to team dynamics, measuring both Knowledge Distribution and Team-Code Alignment — assessing how familiar teams are with the code and whether their organization matches the system’s growth.
CodeScene answers the following questions:
- Do we - as development teams - have an architecture that supports the way we are organized?
- Are we working with or against our software architecture?
- Are there any knowledge silos within the critical areas of the codebase?
In addition, CodeScene identifies risks in the team’s code familiarity:
- Knowledge Silos: Key person dependencies in critical areas, posing a risk if those team members leave. CodeScene's Off-boarding Simulator to identify high-risk code that might get abandoned as a result of a developer leaving.
- Knowledge Gaps: Areas of the code that lack ownership or where no team member has deep knowledge. (Often because the code is written by former contributors who have since left).
Change Coupling - uncover implicit dependencies via developer behaviour
Change Coupling occurs when files, functions, or services co-evolve over time, revealing implicit dependencies between different parts of the code. Change coupling is measured from either commit data or via commits mapped to tickets (eg. Jira, Azure DevOps, or other product management tools).
- Explore how modules change together over time with CodeScene’s Change Coupling. Get deep insights into how well your designs stand the test of time.
- Cross-Team Dependencies: CodeScene highlights logical system dependencies that cross team-boundaries, revealing coordination bottlenecks in the system design.
- Identify maintenance issues: CodeScene combines the change coupling measure with hotspots and code health, helping teams identify maintenance issues and architectural misalignments.
- Evaluate the cost of change: Change coupling helps visualize healthy vs. problematic dependencies, such as expected coupling between code and tests
Ready to explore innovative solutions designed to maximize productivity and foster cohesive teamwork? Get in touch with us!
