Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...
InfoWorld

Meta shows structured prompts can make LLMs more reliable for code review

A new “semi-formal reasoning” approach forces AI models to trace code paths and justify conclusions, improving accuracy while ...
InfoWorld

Here’s how Google is using LLMs for complex internal code migrations

The tech giant has developed a step-by-step AI toolkit that it says has improved end-to-end code migrations by 50%. Code migration is a critical process in maintaining software applications. It helps ...
XDA Developers on MSN

Instead of Claude and Anthropic models, I use my local LLMs for coding (and not vibe-coding, mind you)

Local LLMs beat Claude for my coding needs ...
VentureBeat

Self-invoking code benchmarks help you decide which LLMs to use for your programming tasks

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...
Dark Reading

LLMs' AI-Generated Code Remains Wildly Insecure

The code generated by large language models (LLMs) has improved some over time — with more modern LLMs producing code that has a greater chance of compiling — but at the same time, it's stagnating in ...