AI coding agents are getting smarter, but what stops them from changing code they were never supposed to touch?
Tammuz Dubnov (AI Product Development Expert & CTO) explains why building reliable AI coding agents requires more than powerful AI models.
According to Tammuz, today's AI models are already remarkably capable. The bigger challenge is the harness that controls how those models perform real software development tasks.
When you give an AI agent a simple instruction, the harness needs to translate your intent into specific changes.
What exactly should the agent modify?
How does the system verify that the work was completed?
And how does it prevent the agent from touching 30 unrelated files?
These are the challenges that become especially important when AI coding agents work inside real production codebases.
A powerful AI model can generate code. A well-designed agent harness helps keep that work focused, controlled, and verifiable.
As vibe coding and agentic AI continue evolving, the systems surrounding AI models may become just as important as the models themselves.
Are smarter AI models enough, or is the agent harness the real key to reliable AI coding?
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