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Code Generation

69 summarised stories about Code Generation, each linking back to the original source. Browse all topics →

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Thursday, 30 July 2026

Why linting alone can’t govern agentic development

The New Stack 2 months ago 28

AI agents generate code faster than traditional development workflows, but linting alone cannot ensure the changes are reliable and secure. Teams need a multi-layered verification approach including control-flow analysis, data-flow analysis, dependency scanning, secrets detection, and architectural checks applied proportionally to the scope of agent-generated changes. Building verification into the agent workflow—from providing context before generation through final quality gates—enables teams to move quickly while maintaining system health and resilience.

Superlog Responder

Product Hunt 2 months ago 53

Superlog has released a free AI agent that automatically identifies and fixes bugs in software code. The tool integrates with development workflows to detect issues and generate fixes without requiring manual intervention. Developers can now reduce time spent on debugging and focus on feature development instead.

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