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

Semantic Kernel: A bridge between large language models and your code

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...
SiliconANGLE

Augment Code makes its semantic coding capability available for any AI agent

Augment Computing Inc., the maker of an agentic artificial intelligence coding tool for developers, today announced the launch of Model Context Protocol support for its service, which will enable AI ...
Visual Studio Magazine

OpenAI-Specific Code Nixed from Semantic Kernel AI SDK

Microsoft shipped the first beta of its Semantic Kernel SDK for AI development, in the process making it service-agnostic by removing OpenAI-specific code. Semantic Kernel acts like an AI ...
Nature

Bug Localization and Source Code Comprehension

Bug localisation and source code comprehension are critical domains within software engineering that focus on efficiently identifying and understanding defects in complex codebases. These processes ...
Computer Weekly

Elastic puts 'semantic code search' into stack with Insight.io

The latest trends and issues around the use of open source software in the enterprise. Elastic is joining forces with Insight.io, a Palo Alto-based startup developing search tools that claim to ...