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.
Blog
Deep dives into code quality, architecture, and cutting-edge development strategies.Strengthening the Inner Developer Loop: Turn AI Into a Reliable Engineering Partner
Discover the inner developer loop that transforms AI from a simple code generator into an engineering partner that understands and...
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...
CodeScene Receives Best Paper Award at the International Conference on Technical Debt
CodeScene awarded Best Paper at the 7th International Conference on Technical Debt 2024 for groundbreaking insights in the field...
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...
Managing technical debt: measure the impact and prioritize improvements guided by development data
Manage technical debt by prioritizing code health issues based on development impact. Get a clear priorities list and visualize...
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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? Research
- Requirements on Technical Debt: Dare to Specify Them! Research
- Requirements for Organizational Resilience: Engineering Developer Happiness Research
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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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Change coupling: visualize the cost of change
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Code Health Trends Reworked
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Visualize team-code alignment: reverse engineer your organization from version-control
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Visualize the impact of (automated) code reviews
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Visualize Microservice Dependencies in a Team Context
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Use CodeScene's CI/CD Quality Gates to Manage Technical Debt with Positive Reinforcement
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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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- Refactoring Recommendations Product
- Refactoring components in React with custom hooks Refactoring
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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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How to Manage Technical Debt with Auto-Supervised Goals
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Feature Toggles are Technical Debt, but still great
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- Example of a functional programming refactoring pattern Tutorials
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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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- A performance optimization workflow - Clojure Tutorials
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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
Code Quality
- What is Static Code Analysis? Code Quality
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Use Guardrails for AI-Assisted Coding
AI Coding
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AI vs. Code Maintainability: Extending Cursor with Automated Code Reviews
AI Coding
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Your Team’s Automated Defense Against Technical Debt
Technical Debt
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From Tech Debt to Triumph: How Refactoring Speeds Development by 43%
Research
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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?
AI Coding
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Use Guardrails for AI-Assisted Coding
AI 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
Refactoring
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CodeScene helps identify technical risk and prioritize actions to mitigate it
Code Quality
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Ework Group uses CodeScene to Navigate Challenges of Distributed Software Development
Team Dynamics
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Luminare prevents developer burnout and improved code quality
Team Dynamics
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CodeScene Receives Best Paper Award at the International Conference on Technical Debt
Company News
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What is technical debt? Let's explore!
Technical Debt
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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
Technical Debt
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Adam Tornhill, Founder of CodeScene joins Forbes Technology Council
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- Differences between a startup and an enterprise - a QA perspective Company News
- How is technical debt related to progress? Technical Debt
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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
Code Quality
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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
Code Quality
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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
Technical Debt
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Predicting Security Vulnerabilities with Behavioral Code Analysis
Code Quality
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Evaluate Code Quality at Scale
Code Quality
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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
Code Quality
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Guide Refactoring by Data
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Measure Conway's Law with CodeScene
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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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How Does CodeScene Compare To Static Code Analysis and SonarQube?
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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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CodeScene in Research
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Press Release: the Swedish king Carl XVI Gustaf visits CodeScene
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The Cost of Code: Bridging the Gap between Tech and Business
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Software (r)Evolution (Part 4)
Code Quality
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Software (r)Evolution (Part 3)
Team Dynamics
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Software (r)Evolution (Part 2)
Team Dynamics
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Software (r)Evolution (Part 1)
Code Quality
Software (r)Evolution (Part 4)
In this article we'll explore how software evolution helps us make sense of large codebases.
Software (r)Evolution (Part 3)
You'll see how Temporal Coupling helps us design better software as we uncover expensive change patterns in our code.
Software (r)Evolution (Part 2)
Reason about architectural problems. Dig deep into your code. Get specific recommendations for refactoring and restructuring to...
Software (r)Evolution (Part 1)
Evolution is a series of articles that explore novel approaches to understanding and improving large-scale codebases.
The Happy Marriage of Retrospectives and Software Evolution
These days it's probably easier to find a winged unicorn than a software organization who hasn't adopted Agile.