AI inventory

comparing graph, harness and loop engineering
Graph, Harnesses and Loop Engineering Explained
When a coding agent fails, the usual instinct is to swap the model. The evidence points somewhere else. On SWE-bench Pro, Claude Opus 4.5 scored 45.9%...
AI agent wrapped by a harness
AI Agent Harness: Why Code Quality Validation Belongs in the Loop (2026)
When an AI coding agent ships something broken, most engineering leaders still ask the same question: would a different model have done better? It's a...
The Engineering Manager's EU AI Act Compliance Checklist (2026)
Building an EU AI Act compliance checklist for engineering managers starts with one correction: the calendar most teams use is outdated. Codacy's own...
How to Get Security Approval for AI Coding Tools: A Technical Governance Blueprint (2026)
Getting security approval for AI coding tools requires replacing verbal assurances with repository-level evidence: a live inventory of which models,...
Agentic Development Is Standardizing Faster Than Its Operating Model
Right now, an agent is probably opening pull requests against your production code. You may not be able to say which agent, who configured it, which...
AI Agents Are Turning Developers Into Engineering Orchestrators and Moving the Risk to Review
A growing number of senior engineers describe a similar pattern: writing only a small amount of code manually while AI agents generate much of the...
1 2

Subscribe to our blog

Stay updated with our monthly newsletter.