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Home/Articles/#ai agents

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#ai agents

346 articles found

Crypto investor Katie Haun raises $1 billion for new funds, expands to AI agents
· 26 days ago· ET Tech

Crypto investor Katie Haun raises $1 billion for new funds, expands to AI agents

Former prosecutor Katie Haun has secured $1 billion for new venture funds, focusing on crypto and blockchain companies, with a strategic blend of AI and financial services. Her firm, Haun Ventures, aims for global investments, leveraging her unique background in law enforcement and tech to navigate

#india#et-tech
· 27 days ago· Dev.to

The Missing bandit for AI Agents: How I Built a Static Analyzer for Prompt Injection

https://raw.githubusercontent.com/sanjaybk7/agentic-guard/main/docs/demo.gif If you're building LLM agents with LangGraph or the OpenAI Agents SDK, your architecture might already be vulnerable — and no runtime tool will catch it The problem nobody is talking about Everyone is building AI agents. Ev

#cloud#dev.to
· 27 days ago· Dev.to

Specsmaxxing: I Wrote YAML Specs for My AI Agents — Here's What Changed (and What Didn't)

Specsmaxxing: I Wrote YAML Specs for My AI Agents — Here's What Changed (and What Didn't) A YAML spec for an AI agent is basically the blueprint you leave for the contractor when you can't be on-site. If the blueprint is solid, they build exactly what you want. If there's one ambiguous detail — "wal

#cloud#dev.to
· 27 days ago· Dev.to

The Architectural Shape Hint: A Spec-Time Trick That Lets 10 AI Agents Run in Parallel Without Stepping on Each Other

I run agent swarms now. Not "an agent" — agents, plural, in flight at once, each working on a different feature against the same repo. Ten agents per session is normal. Twenty isn't unusual when the spec is well-decomposed. The token math works, the wall-clock math works, the model latency hides ins

#cloud#dev.to
· 27 days ago· Dev.to

A week of intent-based trading for AI agents: five threads from the Hashlock Markets desk

A week of intent-based trading for AI agents: five threads from the Hashlock Markets desk The Model Context Protocol surface for crypto trading filled out fast over the last few weeks. Bybit shipped MCP coverage. Gemini added an agentic platform. Alpaca, Kraken, Hummingbot, TraderEvolution, and a ha

#cloud#dev.to
· 27 days ago· Dev.to

TealTiger v1.2: Deterministic Governance for AI Agents — Architecture Deep Dive

The Problem AI agents are moving from answering questions to taking actions — calling APIs, querying databases, executing code, managing memory. The security surface has shifted from "what the model says" to "what the agent does." Most guardrail solutions address the first problem. They filter conte

#cloud#dev.to
· 28 days ago· Dev.to

I built a kanban board where AI agents are actual team members

Every week someone posts a new "AI-powered project management" tool. It's usually a wrapper: you write a ticket, click a button, get a GPT summary. The AI is a passenger. I wanted something different. I wanted agents to be on the team — pulling tickets, doing work, posting results, and moving cards

#cloud#dev.to
AI Agents Don't Fail at Code. They Fail at Learning.
· 28 days ago· Dev.to

AI Agents Don't Fail at Code. They Fail at Learning.

Part 1 of 5 in The New Engineering Contract — what it means to lead engineers when AI is doing more of the coding. SWE-CI tested 18 AI models across 71 consecutive commits. Most broke something on commit 47 they'd already broken on commit 1. That's not an intelligence problem. That's a learning syst

#cloud#dev.to
· 28 days ago· Dev.to

OKX Just Gave AI Agents the Full Commerce Lifecycle. Here's What's Still Missing.

The agent commerce stack just got its most complete addition yet. OKX launched the Agent Payments Protocol — and it's not just another payment rail. For the first time, AI agents can: Create and respond to quotes Negotiate terms autonomously Hire professionals and services Set up escrow accounts Mak

#cloud#dev.to
Integrating ServiceNow Incidents with Elastic AI Agents for Observability Analysis
· 28 days ago· Dev.to

Integrating ServiceNow Incidents with Elastic AI Agents for Observability Analysis

Introduction This is an example of calling an Elastic AI Agent from a ServiceNow incident. The ServiceNow version used is Zurich. The workflow involves having the Elastic AI Agent investigate the incident details and recording the returned results back into the incident. [ServiceNow Incident] │ ▼ [U

#cloud#dev.to
· 28 days ago· Dev.to

When 3 AI Agents Code Together: Inside an AI Agent Swarm

Three AI agents. One project. Zero human intervention. 🚀 That's what you're looking at in the video above — an "AI Agent Swarm" system where multiple AI agents work in parallel on different parts of the same codebase. No waiting, no merge conflicts, no "let me just finish this one function first."

#cloud#dev.to
· 28 days ago· Dev.to

Why Software Isn’t Built for AI Agents

The next users of your software won’t be humans. And most software today is completely unprepared for that. Right now, AI agents are: Browsing websites Filling forms Clicking buttons Navigating dashboards That’s not scale. That’s a workaround. We’re forcing machines to behave like humans—because our

#cloud#dev.to
Apple’s $599 Mac mini is gone. Blame the AI agents.
· 28 days ago· The Next Web

Apple’s $599 Mac mini is gone. Blame the AI agents.

Apple has quietly raised the desktop’s starting price to $799 after demand from developers building local AI tools cleared its shelves. Tim Cook says it could take months to catch up. For five years, the Mac mini has been the cheapest way into Apple’s desktop ecosystem. Since the M4 refresh in late

#technology
· 29 days ago· Dev.to

Building Production-Grade Tools for AI Agents: What Works After 100 Deployments

Most developers who build AI agents make the same mistake: they spend weeks designing the orchestration layer, tuning the system prompt, and picking the right model — then hand the LLM a pile of hastily wrapped API endpoints and wonder why it fails in production. Here's the hard truth from teams shi

#cloud#dev.to
AI agents are running wild on developer machines. Incredibuild has a fix.
· 29 days ago· The New Stack

AI agents are running wild on developer machines. Incredibuild has a fix.

Somewhere out there, a developer is walking around with their laptop half-open, so their AI coding agent doesn’t die. That’s The post AI agents are running wild on developer machines. Incredibuild has a fix. appeared first on The New Stack.

#cloud#the-new-stack
MoonPay launches card enabling AI agents to spend stablecoins via Mastercard
· 29 days ago· CoinTelegraph

MoonPay launches card enabling AI agents to spend stablecoins via Mastercard

The card links self-custodied wallets to Mastercard rails, allowing AI agents to spend stablecoins at checkout without preloading funds or moving assets offchain.

#crypto#cointelegraph
MoonPay Launches Debit Mastercard That Lets AI Agents Pay With Stablecoins
· 29 days ago· Decrypt

MoonPay Launches Debit Mastercard That Lets AI Agents Pay With Stablecoins

MoonPay’s new debit Mastercard lets autonomous AI agents spend stablecoins at any online Mastercard merchant.

#crypto#decrypt
· 29 days ago· Dev.to

I Automated Work-Life Calendar Sync With Two AI Agents That Talk to Each Other

The Two-Calendar Problem Every developer with a day job and a personal life has two calendars. My work Outlook has team syncs, 1:1s, and planning meetings. My personal Google Calendar has doctor appointments, NICU visits for my premature twins, kid pickups, recording sessions, and the occasional oil

#cloud#dev.to
US and allies urge ‘careful adoption’ of AI agents
· 29 days ago· Cybersecurity Dive

US and allies urge ‘careful adoption’ of AI agents

New guidance from a coalition of Western governments underscores the difficult-to-predict risks of still-evolving agentic tools.

#security#cybersecurity-dive
Meta Deploys Unified AI Agents to Automate Performance Optimization at Hyperscale
· 29 days ago· InfoQ

Meta Deploys Unified AI Agents to Automate Performance Optimization at Hyperscale

Meta has unveiled a new AI-driven capacity efficiency platform that uses unified AI agents to automatically detect and resolve performance issues across its global infrastructure, marking a significant step toward self-optimizing systems at hyperscale. By Craig Risi

#cloud#infoq
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