#LLM
8 articles exploring LLM. Expert insights and analysis from our editorial team.
Articles
MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis
MR-Coupler uses LLMs to identify functionally coupled method pairs and generate metamorphic test oracles automatically. Accepted to FSE 2026 in March 2026.
Devstral 2 from Mistral: A Fully Open-Source Coding Agent Model You Can Run on a Laptop
Devstral Small 2 is genuine Apache 2.0 and fits in 14 GB. The 123B flagship looks open-source but carries a revenue cap most enterprises will violate.
The Million-Token Context Window: What Can You Actually Do?
Million-token context windows let you feed entire codebases, legal contracts, and hours of video to an LLM in one pass—but advertised limits routinely overstate practical capability. Here's what the benchmarks, failure modes, and real deployment patterns actually show.
GitHub Models: Free LLM Access for Testing and Prototyping
GitHub Models provides free, rate-limited access to leading AI models including GPT-4o, Llama 3.3, and DeepSeek directly within GitHub, enabling developers to test prompts and prototype AI applications without upfront API costs.
Perplexity API: Adding Real-Time Search to Your Apps in Minutes
A comprehensive guide to implementing Perplexity's Search API, featuring pricing, code examples, use cases, and comparisons with alternatives.
Memory Management for Claude: Implementing Session Persistence
Explore practical strategies for implementing persistent memory in Claude applications, from context compression techniques to RAG-based session management approaches that enable truly long-running conversations.
The Best AI Models for OpenClaw in 2026
A comprehensive guide to selecting the right LLM for your OpenClaw workflows, covering coding, writing, reasoning, and cost-effective options.
Pydantic AI vs LangChain: A Developer's Guide to the New Generation of Agent Frameworks
A comprehensive comparison of [Pydantic AI and LangChain](/articles/salesforce-tdx-2026-headless-360-ships-60-mcp-tools-and-agentforce-vibes/), exploring type safety, developer experience, and production readiness in modern Python AI agent frameworks.