There's no reason for software to be slow anymore
- ID
- 16765
- Status
- summarized
- Published
- 22 Aug 2026, 9:06 AM
- Fetched
- 22 Aug 2026, 2:46 PM
- Provider
- Hacker News
- Category
- dev-community
- Original URL
- https://danluu.com/perf-opt/
- Source URL
- https://hnrss.org/best
Summary
- Score
- 8.0
- Created
- 22 Aug 2026, 2:46 PM
- Tags
- Audience
- developersvibe_codersdatabase_learnersai_ml_learnersai_agent_usersstartup_founders
What happened
Dan Luu argues that LLMs have made performance optimization accessible to anyone, citing a regex engine (FRE) built by an agent loop that, after a month of automated tuning, can match or beat hand-tuned engines. Marc Brooker and Michael Malis note that custom software fitted to specific workloads—like JIT compilers or databases—now becomes feasible, removing the cost barrier that once made slow software excusable.
Why it matters
Developers can use LLM agent loops to generate workload-specific optimizations (e.g., custom regex engines or JITs) that previously required specialist teams. Startup founders can build high-performance features without hiring optimization experts, cutting infrastructure costs and improving UX. The concrete takeaway: start experimenting with AI-driven performance tuning now, because ignoring this shift means shipping slower, costlier products than competitors who adopt it.
Discussion angle
The article shows overfitting to benchmarks; how do we ensure LLM-optimized code generalizes to real-world traffic without creating obscure bugs? Is it wise to replace well-understood general-purpose libraries with AI-tailored ones in production systems, and what guardrails should teams adopt?