How far have LLMs come in real-world software engineering? We evaluated GPT-4, Claude, and Gemini across every phase of the SDLC, from planning and design to deployment and maintenance, using four rigorous benchmarks. These models show strong performance in tasks like code generation, patching bugs, and test output prediction. But software development is more than isolated tasks. It is context-rich, multi-step, and dynamic. On SWE-bench Verified, a benchmark that filters out solution leakage and weak tests, top models resolved just 4% of real GitHub issues. But this is the worst they’ll ever be. And they’re improving fast. LLMs are not replacing developers. But they are redefining how software is built, reviewed, and maintained. The next generation of engineers will collaborate with AI at every stage: as reviewers, integrators, and orchestrators. Full blog in the first comment.
Link to the report: https://www.hackerrank.com/blog/the-state-of-frontier-models-across-the-sdlc/
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