AI in software engineering

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%...
How to Govern AI Coding Agents Across Development Teams
By Max Tatarchenko, CTO at SapientPro A software house finds out faster than most companies whether its rules for AI coding agents hold up. We run...
Top Agentic Code Review Tools for Loop Engineering in 2026
Pull request review was built for one person reading another person's reasoning. Coding agents break that model: an agent can repeat one flawed pattern...
How AI Is Changing the Engineering Manager Role: More Context, More Capacity, and the New Job of Protecting Focus
AI is changing the engineering manager role by widening access to technical context rather than turning managers back into full-time coders, and the...
Manage parallel AI coding agents,
Does Your Engineering Team Have a Parallelization Strategy for AI Coding Agents 2026?
You have three coding agents running. One is refactoring a service, another is fixing a bug, and a third is writing tests. So you start a fourth.
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...
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