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LLMs struggle to write performant code
If you use AI coding assistants, you are unfortunately shipping a lot of slow, un-optimized code. In this blog, I will show why AI struggles with writing performant code, and show how you can always ship performant code even when using AI coding assistants.
This isn't just our observation; industry data from Harness.io confirms that 52% of engineering leaders report that increased AI usage directly leads to performance problems. High Performance is achieved from understanding both the problem, execution environment and runtime state deeply - a context that LLMs don't have access to. By automating the verification process, we maintain all the productivity benefits of AI coding assistants while eliminating their performance blind spots.
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