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The benchmark shows that for autonomous coding agents, the choice between GLM 5.2 and MiniMax M3 reduces to a concrete cost-accuracy tradeoff: GLM's correctness edge is real but narrow and concentrated in greenfield packaging, while MiniMax delivers nearly the same results on modification tasks at roughly one-third the cost and half the latency.
DIA replaces the multi-party, lossy handoff workflow of enterprise data integration with a fully autonomous, execution-grounded agent system that generalizes across SQL dialects and task categories without task-specific engineering.
Watch how Cognition's own engineers have restructured their workflows around Devin to understand the practical shift from AI-assisted coding to AI-delegated, human-reviewed software development at scale.
Teams building agentic coding pipelines for real-world software engineering — where public test cases don't exist before implementation — can use DryRUN's approach to achieve competitive code generation quality without the manual overhead of authoring input-output examples.