A new guide on evaluating Retrieval-Augmented Generation (RAG) systems identifies five common mistakes in current evaluation practices, drawing on insights from five research papers. The article advis…
Sakana AI has launched a new API that encapsulates an entire multi-agent system, claiming it outperforms frontier models while eliminating the setup overhead that typically plagues multi-agent orchest…
Engineers are observing that larger context windows in AI models degrade output quality, a phenomenon called 'context rot.' As context grows, attention mechanisms become diluted, leading to vaguer and…
A developer achieved 3x better batch throughput with Qwen3.5 by fixing vLLM on AMD's Strix Halo using the Lemonade Server, enabling more efficient AI inference on AMD hardware.…
AI can transform sales and persuasion when users supply deep customer insight rather than generic briefs, according to a guide on deploying proven frameworks like PAS, AIDA, and STAR through structure…
Engineers at MasTec building tool-driven agent systems repeatedly make five critical mistakes when implementing LLM tool calling, treating it like a REST API call instead of a nondeterministic contrac…
A mid-sized SaaS company in Austin reduced its junior engineering staff by 40 percent, with no public announcement, as AI tools like Claude Code increasingly automate entry-level coding tasks.…
A user tested over 100 Claude Code skills and identified six that significantly improved their daily workflow, as detailed in a post on Towards AI.…
A developer built the same two-agent pipeline in LangGraph, CrewAI, and AutoGen, comparing their performance. Microsoft has discontinued support for AutoGen, which had 56,000 GitHub stars.…
A 99% obedient LLM still produces tens of thousands of malformed outputs daily at scale, causing production outages. The root cause is that prompt engineering and validation loops only persuade, not g…
A Tokyo lab released an AI model that achieved a score of 73.7 on SWE-Bench Pro, outperforming Opus 4.8 (69.2) and GPT-5.5 (58.6), signaling a significant advancement in AI capabilities.…
A month-long analysis of 1,263 prompts from agent-driven development reveals that prompt length is irrelevant; the key to efficient coding is clarity of intent. The median prompt was 78 characters, an…
A study benchmarking six RAG architectures on a financial PDF reveals that Vision RAG achieves the highest answer correctness (0.823) but low faithfulness (0.538), while Graph RAG is the most faithful…
An ML engineer built a system that automatically rolls back machine learning models before they harm production data by routing a small percentage of live traffic to a canary model, continuously measu…
AI engineering faces a contradiction between paying premium for frontier models' reasoning capabilities and aggressively compressing context to reduce costs, leading to a 'fallacy of context compactio…
A developer connected Claude's Model Context Protocol (MCP) to an enterprise identity database, enabling natural language querying of operational data. The system uses dynamic schema discovery and a s…
A developer building a desktop AI workspace has designed a memory engine for AI agents that separates personal and project memory into two pools joined by a pointer, with asynchronous writes, three re…
A 35-billion-parameter Mixture-of-Experts model runs at 28 tokens per second with full 128K context on a 2019 gaming laptop with a GTX 1660 Ti and 6 GB VRAM using llama.cpp's --n-cpu-moe flag and Turb…
Microsoft released a reasoning model called MAI-Thinking-1, trained without synthetic data, highlighting the team's choices to filter out certain data and avoid specific training methods.…
A developer abandoned CrewAI for LangGraph after three months of production use, citing the framework's inability to handle conditional routing and retry logic in complex multi-agent pipelines. While …