AI video agents often produce polished but generic content because they lack a research layer, according to an analysis of current workflows. The Model Context Protocol (MCP), introduced by Anthropic …
Loop Engineering, a practice for designing repeatable agent workflows, is emerging as a critical discipline for reliable agentic AI, according to an article outlining a seven-stage core loop that incl…
A developer named Pranshu640 built a hybrid retrieval system that combines dense and sparse vectors to search PubMed biomedical research, comparing dense search with sentence-transformers/all-MiniLM-L…
A new migration guide from Qdrant outlines how to move from Pinecone to Qdrant, citing Pinecone's lack of an export API, 40KB metadata limit, and 100,000 namespace cap as key pain points. The guide no…
Anthropic's Claude Code documentation and senior engineers show that prompting the AI coding tool as an agentic loop—separating investigation, planning, and implementation—yields dramatically better r…
Microsoft Fabric's Copilot, integrated across its data platform, enables automated data engineering by generating PySpark ETL code, debugging Spark stack traces, and writing DAX measures, requiring an…
A recommendation model that scored 96 percent on its test set became useless within a month of deployment because distribution shift—not a corner case but the default condition of production—caused th…
AI coding agents are now able to render a single frame of a product video, check it, and fix it in about a second, treating video as code that can be edited and re-rendered like a failing test. Two pr…
A practical guide proposes an AI coding agent task router that assigns software tasks to the appropriate tool—such as OpenAI's Codex, Anthropic's Claude Code, GitHub Copilot, or Google's Gemini—based …
Tensorlake introduced dynamic network policies for its Sandboxes product, enabling AI agent workloads to change network boundaries during execution phases—trusted context, approved tool, network isola…
A clash between Claude Code's system-message injection and Qwen3.8's chat template causes a 500 error when using the unsloth/Qwen3.8–27B-GGUF model via Ollama, with the failure occurring in under 300 …
Flow matching, a generative modelling technique, learns a velocity field that transports noise directly onto data in one continuous motion, avoiding the stochastic reversal of diffusion models. The me…
A product manager or engineer can use agentic development environments such as Cursor, Claude Code, Lovable, Bolt.new, or v0 to generate a full-stack web interface from a conversational prompt in 45 m…
A 2× faster attention kernel yields only 0.66% end-to-end speedup on a 1,024-token prompt with a 128-token answer under vLLM's --goodput ttft:500 tpot:50 promise, according to a seven-part technical s…
A new analysis warns that autonomous prior-authorization agents in healthcare can fail when vector databases retrieve expired payer policies, causing denials. The article describes a case where an age…
A new report warns that AI agents are outpacing human patching, with 80% of organizations reporting agents operating beyond their intended scope and AI-discovered zero-day exploits mathematically outr…
Louis-François Bouchard, Co-founder & Head of Community at Towards AI, shared the engineering team's playbook for shipping reliable code with AI coding agents, recommending that important stochastic L…
Prompt engineering is the practice of crafting clear, specific instructions to improve AI responses, as explained in a guide covering techniques such as defining output format, tone, and boundaries. T…
DeepSeek open-sourced deepseek-harness, an agent harness that treats the model as a commodity and makes every component swappable, attracting over 27,500 GitHub stars within four days of launch. The h…
A developer detailed a method to offload trivial text tasks from Anthropic's Claude Code to a local Qwen3.5-4B model running on llama.cpp, using a custom skill that calls a Python script via Bash. The…