160 stories
Add architectural guardrails around how agents read untrusted sources and use them in the workflow. The post How Can AI Agents Read Untrusted Sources Safely? appeared first on Towards Data Science.
Managed Deep Agents includes a new API for managing reactions for your distributed agents, and a system to dynamically assign emoji responses with your instrument of choice. Learn more.
TL;DR One team builds an HR agent in Copilot Studio. Another builds a research agent with LangChain. A third works in Claude Code, and a...
Discover how Snyk transformed an internal support agent into Snyk Assist, a customer-facing AI feature powered by LangChain, LangGraph, and LangSmith.
Build an agent that pays for real purchases. Restock runs in Slack on Managed Deep Agents and pays with Stripe's Link over the Machine Payments Protocol.
#ReAct #AIAgents #AIEngineer ReAct pattern for AI agents: tool calling, Reason and Act loop, Python function calling, multi-tool agents, and Agentic AI — step-by-step before LangChain.
Deep Agents now lets you bind tools to skills, pin skills at runtime, and reload skills mid-thread, so agents with expansive skill repositories stay context-efficient and effective.
Ask a judge model the same pairwise question 50 times and you’d expect 50 identical verdicts. In a 2026 study of GPT-4o-mini and GPT-4.1-mini as...
LangChain just released new capabilities in Managed Deep Agents. Agents can now schedule follow-ups, reconfigure themselves on every run, and react to Slack messages.
Why I Stopped Trading and Started Tendering with AI For years, I was hooked. The flashing charts, the quick wins (and devastating losses), the constant hunt for the ‘edge’… I was a trader. Primarily focused on crypto, but dabbled in Forex and equities too.
Why 80% of enterprise RAG failures happen before retrieval starts. Learn the Goldilocks chunking dilemma, 512-token truncation, and production splitting rules.
If there’s one thing the AI software engineering world doesn’t lack, it’s benchmarks. Want to know whether an agent can The post Copilot tops GitHub’s own AI code review benchmark. An independent one tells a different story. appeared first on The New Stack.
For the August VB Pulse, VentureBeat Intelligence surveyed respondents from organizations with 100 or more employees. We asked which agent orchestration platforms they run and why, what they plan to adopt next, where they expect agent control to sit and how they stop runaway agent spending.Read more
Build a Retrieval Augmented Generation (RAG) application on Amazon Bedrock Managed Knowledge Base with LangChain, and see how agentic retrieval handles the multi-part questions that single-shot retrieval answers poorly.
Issue #4 of The State of Serene: faster search on every core and from a cold cache, regex and fuzzy search that always answer, text analyzers as expressions, HNSW, the docs inside the binary, OpenTelemetry ingestion, faster time histograms, MATCH_RECOGNIZE, spatial and AI functions.
The short answer An AI pipeline can look healthy at the infrastructure level while the actual AI system is failing. A model can be available,...
12 hours after GPT-6.1 Sol launched, 3 of 10 AI libraries knew it. LlamaIndex raises ValueError; LangChain returns an empty profile. Probe inside.
I wired TypeSafe’s Jev into a real Claude Code workflow for a week. Here is what the “200x faster, 400x cheaper” headline leaves out.
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