AI Writes Code Fast, But Reviewing It for Safety Remains the Hard Part

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AI coding assistants have significantly accelerated software development tasks like generating components, writing tests, and handling repetitive refactors. However, faster code generation has exposed a new bottleneck: the review process has largely remained unchanged, leaving teams to manually verify correctness, edge cases, and architectural consistency. AI-generated code can appear functionally correct while still missing critical details such as expiry checks, audit logging, or side-effect handling. Tools like Qodo aim to address this by introducing a quality layer that shifts code review earlier into the development workflow, including inside the IDE before changes reach a repository. The broader conversation in AI-assisted development is thus moving from how to generate code faster to how to ensure generated code is actually safe to ship.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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