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A new report from Keyrock says stablecoins on blockchain rails are becoming the go-to payment layer for AI agents as traditional card rails struggle to handle micropayments.
For context: in the previous piece, I worked through a five-dimension review framework for documentation, covering clarity, readability, style, completeness, and technical accuracy. Those dimensions are now part of how our team's AI agent reviews PRs. It runs them on every review pass, quietly, in t
This is the first part of a series about why even the most powerful AI agents today need more than just access to your codebase. living state of the project: tasks, rules, decisions, notes, and workflow context. In this article, I focus on the core problem. I won’t dive into architecture, Freeform b
A practical, production-oriented guide to building AI agents — patterns over products, anti-hype, vendor-neutral. Part 1: The Demo Worked. Production Didn't. Part 2: What Makes Something an Agent Part 3: How the Loop Actually Works Coming soon. What happens turn by turn when the agent runs. State th
When agentic workflows fail, developers often assume the problem lies in the underlying model’s reasoning abilities. In reality, the limited information provided by the retrieval interface is often the primary limiting factor. Researchers at multiple universities propose a technique called direct co
Unified AI service management lives or dies on context — and that context demands consolidating fragmented tools, data and operations into a single foundation. That consolidation imperative is now the central argument behind Freshworks Inc.’s expanded Freshservice platform, which the company has gro
Dun & Bradstreet has spent over 180 years building a comprehensive commercial database. Its Commercial Graph, covering 642 million businesses and their relationships, corporate hierarchies and risk profiles, was designed for people. Credit analysts, risk managers and sales professionals who could wa
Multi-Stream LLMs: How Parallel Computation Will Unblock Your AI Agents Published: May 22, 2026 · 14 min read · Focus Keyword: Multi-Stream LLMs The Dirty Secret About Every AI Agent You've Built The Sequential Bottleneck: Why Every LLM Is Stuck in 2022 Multi-Stream LLMs: The Core Idea The Math: Cro
Meta Description: Learn how to build production-grade AI agents using the Model Context Protocol (MCP) — covering architecture, FastMCP Python SDK, async tools, Tasks extension, security best practices (Confused Deputy attack), and remote server deployment with real code examples. Why AI Agents Need
AI agents are moving from generating text to taking actions. They can run commands, send emails, issue refunds, update records, call internal tools, and touch production workflows. That changes the security model. A system prompt can guide an agent, but it should not be the thing that enforces polic
AI agents forget. Every time a coding assistant loses track of a debugging thread, or a data analysis agent re-ingests the same context it already processed, the team pays in latency, token costs, and brittle workflows. The fix most teams reach for — expanding the context window or adding more RAG —
Kore wants to drag enterprise agent development out of the prompt-chain wilderness. The agentic software company on Thursday released Artemis, The post Kore counts down to Artemis, its moonshot for governable AI agents appeared first on The New Stack.
Every few weeks someone asks me how their agents should talk to each other. The answer I give depends on what they're actually trying to do, and I've noticed most people pick a method based on what they already know rather than what fits the problem. So I sat down and actually tested all six approac
AI agent projects are proliferating throughout the enterprise, and those AI agent identities require management, security, and governance. New Omdia research shows the AI agent identity budget dynamics are very different than traditional IAM projects.
Bitcoin Magazine Foundation Raises $6.4M in Fulgur-led Round to Launch Passport Prime, a ‘Human Authority’ Device to Keep AI Agents in Check Foundation raised $6.4 million in a Fulgur Ventures–led round to launch Passport Prime and expand from Bitcoin custody into AI-era identity, authentication, an
Enterprise management software company Workday Inc. is expanding beyond core human resources and finance with new artificial intelligence agents for information technology service management and travel. In an announcement today, Workday launched two new AI agents for Sana, the company’s AI-powered p
Modern agent frameworks implicitly treat a probabilistic model as an execution authority. That is acceptable for read-only tasks (e.g., summarizing logs or searching the web). But once an agent can mutate external state — payments, databases, infrastructure, PII — the architecture becomes fundamenta
Introduction We shipped our first 10-robot demo and thought the hard part was solved. Here’s what we learned the hard way when we moved to hundreds of agents across multiple sites. This write-up is for robotics engineers building AI swarms who need pragmatic patterns for reliable, low-latency coordi
The workforce is no longer purely human — and closing the gap between how companies manage people and how they govern AI agents has become one of the defining operational challenges of the digital worker lifecycle. As agentic AI spreads across every facet of the enterprise, IBM Corp. is betting that
RAG architectures are good at one thing: surfacing semantically relevant documents. That's also where they stop. A framework called a decision context graph addresses that gap by giving agents structured memory, time-aware reasoning, and explicit decision logic. Rippletide, a startup in the Neo4j ec
