It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.
The government confirmed plans to introduce the MMRV in August 2025, as new data revealed that none of the main childhood vaccines in England had reached the 95% uptake target in 2024/25.
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Pakistan also alleges the attacks are being carried out at the behest of the TTP's Afghanistan-based leadership and handlers, who are being supported by the Taliban government.
In a recent update made to Cloudflare Workers, I made similar kinds of modifications to an internal data pipeline that reduced the number of JavaScript promises created in certain application scenarios by up to 200x. The result is several orders of magnitude improvement in performance in those applications.