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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Unhealthy Code is Burning Your Token Usage - Here's the Data
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CodeScene is a proud partner of Lund University and Vinnova's NextG2Com Competence Center
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