AI-Acceleration Framework
Assess AI risk
i
Identify which parts of the system are healthy enough for AI acceleration and which need improvements first. When agents operate on unhealthy code, there is at least 60% defect risk.
Safeguard AI-generated code
i
Automatically protect all new AI-generated code, and any change to existing code. With the CodeHealth MCP Server in your workflows, teams keep new code AI-ready and healthy, while agents work to a quality target the server enforces. Prevent AI from introducing technical debt by flagging maintainability issues like complexity, deep nesting, and low cohesion.
Make unhealthy code AI-friendly
i
When a regression is detected, a deterministic Code Health review runs via the MCP server, and the agent is instructed to refactor the code until Code Health is restored. Agents target a maximum Code Health of 10.0, re-measured via the CodeHealth score.
Targeted refactoring
i
AI tools can refactor code, but they lack direction on what to fix and how to measure if it helped. The CodeHealth tools solve this by giving AI assistants precise insight into design problems, plus an objective way to assess the outcome.
Deterministic refactoring, one click
i
Refactor at scale from a pull request, centralized in CI, no per-developer setup. Deterministic signals set a Code Health standard across teams, fixing degradations or uplifting code toward a higher target. Changes go through normal review. Use your own LLM, any premium provider.
Measure AI impact
i
Use CodeScene's Delivery metrics and CodeHealth reporting to see if agents are improving throughput without degrading code quality. Objective visibility, adoption trends, measurable impact, and early warnings when risk increases.
Technical debt management
Prioritize technical debt
i
Visualize prioritized technical debt in codebases of any size, identifying key development friction and highlighting the files where productivity is most impacted. This lets you prioritize refactoring of unhealthy hotspots to reduce friction, waste, and risk.
File-level Hotspots analysis
i
Identify the most frequently worked-on files with hotspot maps that highlight areas of high development activity. Combined with CodeHealth™ metrics, CodeScene pinpoints where poor code quality slows teams down, leading to more bugs, wasted effort, and lower morale.
Refactoring targets with recommendations
i
CodeScene prioritizes hotspots by analyzing change patterns in frequently modified, low–health files that affect multiple modules or teams. Refactoring targets are clearly ranked for maximum ROI, and recommendations adapt automatically as your product focus shifts.
Manage hotspots and technical debt with goals
i
CodeScene lets you add contextual information to the analysis data as specific “goals.” Combined with hotspot analyses, CodeScene’s goal-oriented workflow provides a framework for managing technical debt and code quality issues, from detection to action.Define goals like “Supervise” to monitor fragile code or "Planned Refactoring" to target technical debt, ensuring that refactoring efforts are purposeful and aligned with broader development strategies.
Complexity trends
i
Complexity trends are used to get more information around the hotspots. Once we’ve identified a number of hotspots, we need to understand how they evolve; Are they hotspots because they get more and more complicated over time? Or is it more a question of minor changes to a stable code structure? Complexity Trends help you answer those questions.
Virtual code review
i
Get a detailed breakdown of the code health issues and recommendations on how to fix them. The Virtual Code Reviewer combines the social and technical analysis data you need to assess a specific hotspot.
X-Ray, deep analysis on function/method level
i
X-Ray analysis works at the function level to reveal what’s happening inside a hotspot. It pinpoints which parts of large files to improve, explains temporal coupling, and suggests method restructuring for clarity and maintainability. You get a prioritized refactoring list, enabling an iterative, data-driven approach to improving complex, high-risk code.
Quality gates for PR/Merge requests
i
CodeScene’s Pull/Merge Request integration acts as an automated defense against technical debt. Quality gates enforce code standards in CI/PRs, ensuring issues are caught early. Reviews are fully customizable — set different gates for parts of the codebase or enable them team by team.
Fully automated code review
i
Performs a fully automated code review of all Pull/Merge Requests to support the development team. Includes quality gates for code health issues, the goals you specify, as well as a full review of new and existing code.
Customizable code quality profiles
i
CodeScene’s Code Quality Profiles align day-to-day code checks with your organizational goals. Choose from predefined profiles or customize your own to enforce the right level of quality, from preventing new debt to actively improving code health.
AI quality gates and health checks
i
AI quality gates enforce standards on AI-assisted code to prevent technical debt and code smells. Get continuous, real-time CodeHealth™ feedback and alerts in your IDE as code is generated. CodeHealth™ checks act as quality gates in every PR, reviewing every line of code, whether AI-generated or handwritten. Monitor code health trends through CodeScene’s interactive dashboards and analyses, and address issues before they impact delivery. Works with all major languages and AI coding assistants such as Copilot, Cursor, and others.
Local code quality checks with IDE plugins
i
With CodeScene’s CodeHealth™ in your IDE, you get local quality gates and a full CodeHealth™ review on every file change, in real time. Instantly detect code smells and code health declines, whether the code is AI-generated or handwritten, creating a continuous feedback loop that prevents technical debt from entering your codebase. Supports Visual Studio, VS Code, JetBrains IDEs, Cursor, Copilot, Windsurf and more.
AI-powered refactoring in the IDE
i
With CodeScene ACE, our AI-driven refactoring add-on for your IDE, you get validated refactoring suggestions and one-click auto-refactors that improve code health with every change. Automatically manage and prevent new technical debt, and remove introduced code smells before pushing to production.
Talk to sales
Talk to sales
Talk to sales
Code Health analysis
Full CodeHealth™ assessments
i
CodeScene’s CodeHealth™ analysis measures how easily developers can read, understand, and modify code. Files are scored 1–10 and color-coded red, yellow, or green to pinpoint where poor quality drives cost and risk. Backed by peer-reviewed research, CodeHealth™ is proven to improve both speed and quality.
Code Health score and historic trend
i
CodeHealth™ is an aggregated metric built on 25+ factors that measure the internal quality of your code based on maintainability, cognitive load, and complexity. It correlates healthy code with higher productivity and fewer bugs, while historic trends make progress easy to track.
Active risk alerts
i
Get risk alerts and suggestions on how to improve your Team-Code Alignment.
Custom Code Health rules
i
An optional feature that lets you adapt CodeScene's rules to your internal coding standards.
Code coverage
Measure code coverage where it matters
i
Improve code coverage where it matters most. By combining coverage metrics with CodeScene’s analytics, it highlights high-risk areas to mitigate and evaluates the sufficiency of coverage for planned refactorings.
Knowledge distribution insights
Visualize knowledge distribution
i
Get organizational insights beyond what’s visible in source code. Detect personnel risks, measure knowledge distribution, and spot architectural bottlenecks where developers must coordinate.
Knowledge distribution status and trends
i
See knowledge distribution status (Healthy, Attention, or Risky) with trend graphs over weeks, months, or years to track progress.
Active knowledge alerts
i
Knowledge related alerts such as knowledge islands in complex hotspots and missing configurations are highlighted to help you mitigate risk.
Off-boarding simulator
i
Mitigate offboarding risks by simulating the impact of a developer leaving a project. This simulator highlights offboarding risks and guides on-boarding efforts.
Team-code alignment insights
Team-Code alignment explorer
i
Explore how well aligned the development teams are with the software architecture. An efficient team structure minimizes dependencies between teams while maintaining high team cohesion.
Status and trend
i
See your Team-Code Alignment status with historic trends. Strong cohesion and low coupling mean less coordination overhead and fewer merge conflicts.
Active risk alerts
i
Get risk alerts and suggestions on how to improve your Team-Code Alignment.
Delivery performance insights
Delivery status and trend
i
Delivery Performance puts CodeScene's technical and organizational metrics into a business context, combining project management data with Git history to visualize cycle times, lead times, and batch sizes.
Delivery statistics
i
See release frequency, batch size, branch duration, release overdue statistics, average development and deployment time. You can even see delivery statistics per team.
Planned/unplanned work analysis
i
See how much time is spent on planned vs. unplanned work, with features and re-work tracked as Planned and bugs or service interruptions as Unplanned.
General features
Private repositories
i
Ability to analyze private repositories as well as public.
High-level dashboards with key trends
i
CodeScene’s portfolio dashboard highlights key trends and current status across all projects. Interactive views deliver actionable recommendations that keep both technical and non-technical stakeholders aligned.
PDF reports
i
Export analysis results as PDF reports on trends, health, and knowledge distribution, or use the Management Overview for multi-codebase insights.
Azure Entra SSO support
i
CodeScene Cloud now supports secure single sign-on (SSO) via Azure Entra ID, making it easier for teams to manage user access through their existing enterprise identity provider.
Rest API
i
The REST API lets you create and configure projects, generate custom reports, and display CodeScene results in your toolset.
PM tools integrations
i
Integrate with Jira, Trello, Azure DevOps, and GitHub Issues. CodeScene’s cost analyses translate technical and organizational findings into financial impact, showing time spent on defects, unplanned work, and trends over time.
Software portfolio: a multi-project overview
i
The Software Portfolio offers a high-level view of all projects across Code Health, Knowledge, Team-Code Alignment, Delivery, and Coverage — making it easy to spot trends, prioritize, and see correlations.
Support & Success
Community & AI Support
i
All paid plans include access to CodeScene community and AI Chatbot Support.
Customer Success Manager
i
Dedicated Customer Success Manager providing personalised training and tailored onboarding
Enterprise Support
i
Are you an Enterprise Customer with less than 100 active authors? Learn more for Premium Support Pricing.
100+ active authors
100+ active authors
100+ active authors