Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
A developer built SKILLmama, an AI-native capability discovery engine that scans project architecture and searches across five ecosystem tiers to recommend libraries and tools ranked by compatibility, popularity, mainten…
A tutorial demonstrates how to build a Python MCP server using FastMCP that wraps a corporate REST API into three typed tools—search_customers, get_order, and create_support_ticket—enabling LLMs like Claude Desktop to ca…
Anthropic launched Claude Platform on AWS in May 2026, a managed API operated by Anthropic rather than AWS, offering IAM authentication, CloudTrail logging, and advanced features like Claude Managed Agents and MCP Connec…
On June 12, 2026, the US government forced Anthropic to take its Claude Fable 5 AI model offline via export controls, citing a jailbreak that revealed minor vulnerabilities. The White House demands jailbreak-proof guardr…
Researchers at Brazil's Federal University of Minas Gerais identified 'smelly' configuration files that degrade AI coding agents' performance, finding that 91 of 100 popular open-source repositories contained structural …
A developer built an open-source PII firewall for LLMs after accidentally sending a customer's credit card number to OpenAI during a benchmark test. The tool, called LLM Governance Engine, intercepts prompts before they …
A developer proposes using multiple LLMs collaboratively, with Gemini handling high-level refactoring and GPT/Claude implementing code, to overcome individual weaknesses. They ask for agent frameworks that automate such …
HagiCode integrated Reasonix 1.x with DeepSeek V4, revealing a semantic migration challenge where startup parameters were reduced to a single `-model` flag, with credentials and policies moved to `reasonix.toml`. The ada…
Job seekers using MetaShark Resume, an AI-powered job search tool, report going from zero interviews to landing three in a week. The tool monitors 10,000+ companies, generates tailored resumes, and provides interview pre…
A developer explains that vector databases are not magic but rely on approximate nearest neighbor (ANN) search algorithms like HNSW and IVF. The post details how these algorithms trade accuracy for speed and highlights c…
A developer argues that large context windows in AI models are not a solved problem, despite recent advances allowing millions of tokens. The 'lost in the middle' phenomenon causes models to underweight content in the mi…
A developer integrating the pi CLI-based AI coding agent into an AI coding assistant project encountered three major challenges: parsing a private JSON event stream, handling ambiguous failure semantics with retry logic,…
A developer who spent 140+ hours maintaining a 'second brain' system using Obsidian, Notion, and Claude Sonnet found that the 'capture everything' approach made retrieval worse, with 2,300 notes becoming slower to search…
A developer shares five battle-tested AI automation tips that save hours weekly, including breaking workflows into discrete steps, enforcing structured output schemas, implementing kill switches, caching LLM responses, a…
A developer argues that hallucination detection in AI agents is an instrumentation problem, not a model-quality issue, and introduces a layered detection approach using AgentLens and agent-eval tools. The technique invol…
An engineer building an autonomous software development system observed an AI agent recursively splitting a 'scaffold-minimal-project' task into ever-smaller subtasks, each failing for the same reason, mirroring the part…
A developer used Claude Code to build a pipeline for ranking the best players by position in each round of the 2026 World Cup. The agent downloaded 24 official FIFA match reports, diagnosed a DNS resolution issue by runn…
OpenAI is preparing a real-time voice mode for its Codex coding assistant, featuring a wake word, persistent session threads, and an animated pet avatar. The update borrows elements from ChatGPT's voice interface, signal…
A Skyward engineer discovered that AI agents follow patterns in the repository code, not instructions in prompts, leading to repeated violations of design rules. The engineer introduced Screaming Architecture to organize…
A developer working on Skyward's monorepo with AI agents discovered that agents follow patterns in the codebase, not instructions in prompts. The realization led to Context Architecture, which ensures every claim a repos…