Healthy code needs 22 to 35% fewer tokens for agentic code review
A pre-registered study shows what unhealthy code costs AI agents to review. See the numbers and the limits.
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Deep dives into code quality, architecture, and cutting-edge development strategies.Case Study: Refactoring at Scale with Agents
A legacy uplift that would traditionally have been a 12–18 month, high-risk engineering project was completed in three weeks of...
Agentic AI Coding: Best Practice Patterns for Speed with Quality
How CodeScene’s Code Health and MCP tools turn agentic speed into sustainable engineering practices.
Making Legacy Code AI-Ready: Benchmarks on Agentic Refactoring
Benchmarks and use cases for agentic refactoring with the CodeScene CodeHealth MCP Server.
From Tech Debt to Triumph: How Refactoring Speeds Development by 43%
In this article, we’ll use a statistical model that translates Code Health scores into tangible business value – faster...
6X improvement over SonarQube - Raising the Maintainability bar
CodeScene surpasses SonarQube by 6 times on the public software maintainability dataset, scoring 83% vs. SonarQube's 13.3% using...
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Healthy code needs 22 to 35% fewer tokens for agentic code review
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Case Study: Refactoring at Scale with Agents
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Why AI Coding Agents Need a Deterministic Code Health Gate
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CodeHealth as a Prerequisite and Compass for Coding Agents
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Announcement: Deterministic PR Refactoring Agents
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Unhealthy Code is Burning Your Token Usage - Here's the Data
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Making Legacy Code AI-Ready: Benchmarks on Agentic Refactoring
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Agentic AI Coding: Best Practice Patterns for Speed with Quality
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Strengthening the Inner Developer Loop: Turn AI Into a Reliable Engineering Partner
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Human, What Must I Tell You?
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Requirements on Technical Debt: Dare to Specify Them!
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Requirements for Organizational Resilience: Engineering Developer Happiness
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The Bumpy Road Code Smell: Measuring Code Complexity by its Shape and Distribution (Clone)
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Architectural Analysis Simplified and growing Programming Language support
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Code Health Trends Reworked
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Under the Hood: Prioritizing Technical Debt in React
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The technical interview rethought: an approach to evaluate communication and code comprehension
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The Day I Parsed A Monster
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Tech Debt - prioritize technical debt with CodeScene
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Minimize On- and Off-Boarding Risks
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Migrating from TFS to Git: How to Run CodeScene on TFS Projects
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Meet the Branch Measures: Behavioral Code Analysis Predicts Delivery Risks
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Feature Toggles are Technical Debt, but still great
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Early Warnings for Future Maintenance Problems
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CodeScene's IDE Extension brings CodeHealth™ Analysis directly into your editor
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CodeScene SaaS with BitBucket Hosting
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CodeScene in your Continuous Integration Pipeline
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Announcing Code Health support for the Rust Programming Language
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Announcement: Code Health Metrics for the BrightScript Language
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Analyse Pair and Mob Programming Patterns
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AI Coding Assistants: Introducing CodeScene AI Generated Code Refactoring
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A Project Management Software that Understands Code
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CodeScene Momentum Leader in G2 Summer 2025 Reports
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New Codility–CodeScene Partnership Brings CodeHealth™ into Technical Assessments
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Explore CodeScene's New Code Coverage Feature
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Use Guardrails for AI-Assisted Coding
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AI vs. Code Maintainability: Extending Cursor with Automated Code Reviews
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Your Team’s Automated Defense Against Technical Debt
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From Tech Debt to Triumph: How Refactoring Speeds Development by 43%
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CodeScene Now Available on AWS Marketplace
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Conflux and CodeScene Announce Strategic Partnership
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Wouldn’t It Be Great If You Could Automatically Pay Down Technical Debt Using AI?
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Use Guardrails for AI-Assisted Coding
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CodeScene is a proud partner of Lund University and Vinnova's NextG2Com Competence Center
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University of Antwerp uses CodeScene in Re-engineering Course
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CodeScene helps identify technical risk and prioritize actions to mitigate it
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Ework Group uses CodeScene to Navigate Challenges of Distributed Software Development
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Luminare prevents developer burnout and improved code quality
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CodeScene Receives Best Paper Award at the International Conference on Technical Debt
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What is technical debt? Let's explore!
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CodeScene Named Spring 2024 High Performer by G2
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6X improvement over SonarQube - Raising the Maintainability bar
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CodeScene is a proud sponsor of Pink Programming
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Introducing CodeScene's new CLI Tool
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Visualize Conway's Law in your Codebase
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Lydia Nicoll enters as CodeScene's new Chief Marketing Officer
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CodeScene Raises €7.5 Million in a Financing Round
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Code Quality: Debunking the Speed vs Quality Myth with Empirical Data
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Reduce Technical Debt: Strategies to Safeguard Your Organization from its Debilitating Impact
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Adam Tornhill, Founder of CodeScene joins Forbes Technology Council
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We've recruited Markus Borg as Principal Researcher to lead company’s research efforts
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What can software developers learn from offender profiling?
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Code quality: measuring the business impact of unhealthy code
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How CodeScene Differs From Traditional Code Analysis Tools
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ISO/IEC 27001 accredited - Your code is safe with us!
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CodeScene one of the 50 finalists in Techarenan Challenge 2021
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Meet the three Code Health KPIs: a unique profile of each codebase
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Techarenan names CodeScene as a Nordic rising star
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Managing technical debt: measure the impact and prioritize improvements guided by development data
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Predicting Security Vulnerabilities with Behavioral Code Analysis
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Evaluate Code Quality at Scale
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Interview with Edward Cattermole, CFO Codescene
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Interview with Stephen Marikkar, Customer Success Manager Codescene
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Measure the Code Health of your Codebase: a continuous feedback loop for engineering decisions based on data
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Guide Refactoring by Data
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Tech Debt Management: Communicate the Effects of Technical Improvements to Non-Technical Stakeholders
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CodeScene joins the GitHub Student Developer Pack
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How Healthy is Your Codebase? Introducing Code Health and Biomarkers for Software
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Predicting Code Quality Issues Before They Happen: A Minority Report for Code
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Better than silver bullets: A milestone for behavioral code analysis
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Visualize Brooks's Law: When more people make a late software project later
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Managing Technical Debt With Augmented Code Analysis
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CodeScene: The First Three Years of a Bootstrapped Startup
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The Bumpy Road Code Smell: Measuring Code Complexity by its Shape and Distribution (Clone)
Cyclomatic complexity counts the number of logical paths through a function. The Bumpy Road Code Complexity pattern is a function...
Architectural Analysis Simplified and growing Programming Language support
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Base 64 - padding and URLs
Knowing the size of input beforehand, it should be safe to leave out the padding character so you don’t need to percent-encode it...
Change coupling: visualize the cost of change
Code can be hard to understand due to excess accidental complexity. Or, it can look simple, yet its behavior is anything but due...
Code Health Trends Reworked
New code health trends and easy-to-spot problematic hotspots. Jira and Trello integration puts technical and organizational...
Code Health: simple ways to avoid complexity
If you've used Virtual Code Review or PR integration, you already know that complexity is a frequent target of CodeScene's Code...
Visualize team-code alignment: reverse engineer your organization from version-control
A novel approach to visualizing the dynamic work of development teams. Ensure your software architecture matches your team...
Visualize the impact of (automated) code reviews
CodeScene provides an automated code review that serves as a quality gate for pull requests. New CodeScene release presents...
Visualize Microservice Dependencies in a Team Context
This article introduces the change coupling concept to visualize dependencies between microservices within the context of the...
Use CodeScene's CI/CD Quality Gates to Manage Technical Debt with Positive Reinforcement
Reinforce positive trends as part of the CI/CD Pipeline. Use CodeScene in your CI/CD Pipeline, integrations for GitHub, BitBucket,...
Under the Hood: Prioritizing Technical Debt in React
Let's have a look at one of the technical debt examples. Prioritizing tech debt on a function level is a big win. We'll explore...
The technical interview rethought: an approach to evaluate communication and code comprehension
How should you go about a technical interview? We say the white board approach is incomplete.