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A few days ago, I was building a coding agent using the new OpenAI Agents SDK. Like everyone else, I plugged in one of the official cloud sandboxes (I won't name names, they are all generally good). My agent was working, but it felt incredibly sluggish. I looked at the logs. My agent was averaging a
Business process automation software company Appian Inc. is stepping up its game in agentic artificial intelligence, announcing major updates to its platform focused on AI-assisted application development and Model Context Protocol integration. The company announced the updates at its annual user co
AI Agent Design: Dify vs LangChain vs Raw API — How to Choose When you decide to build an AI agent, the first question is "what do I use?" I've run all three in production. Here's the honest breakdown. Dify: No-code/low-code / prototypes / non-engineer teams LangChain: Python / complex chains / OSS
AI agents are powerful, but they can also be expensive in a very quiet way. When I use a normal chatbot, I send one message and get one answer. The cost is easy to understand. But when I let an AI coding agent work, it may read files, edit code, run tests, fail, retry, send more context, and call th
Full Analysis of AI Agent Security Tools: Onecli, Sigcli, Agent Vault, Ren AI Proxy, and FakeKey Background: An Emerging Security Need The rise of AI agents and coding assistants (such as Claude Code, Cursor) is bringing brand‑new security challenges to developers. Your project directory may quietly
OpenChoreo, the open-source internal developer platform built on Kubernetes, has shipped its 1.0 release and been accepted into the Cloud Native Computing Foundation (CNCF) Sandbox. The project is designed to give engineering teams a complete foundation for running workloads on Kubernetes without re
A comprehensive, actionable guide to the principles, techniques, and architecture behind sipeed/picoclaw — written so you can build a similar system from scratch. 🧩 What PicoClaw Is and Why It Matters 🎯 Design Philosophy 🏗️ High-Level Architecture 🔄 Core Concept #1 — The Agent Loop & Pipeline 🕹
1 hour. Seven hours. Same ticket, same prompt, two days apart. The agent wasn't broken. It was showing me what my team had been doing silently for years. But I'm getting ahead of myself. Most teams I've worked on have a stage between "product writes a ticket" and "the team estimates it" — pre-refine
The round brings total raised to €9 million. Investors from OpenAI, Perplexity, and Spotify backed the seed. The platform operates as a headless API that lets AI agents query and pay for premium licensed datasets in real time, on a token-based model. Competitors include Scale AI, Appen, and Defined.
This article was originally published on BuildZn. Everyone talks about building AI agents that "just work," but nobody tells you how much low-level crap you debug to get there. I spent weeks wrestling with gemini-3-flash-preview on TerminalBench, hitting every wall from bad tool calls to silent API
The unchecked proliferation of AI agents is leading to a large volume of unsanctioned AI applications.
LangGraph State Machine Patterns — How to Stop AI Agents from Going Off-Script The "Agent Does Something Unexpected" Problem LLM-powered agents that run outside their intended scope — infinite loops, unauthorized operations, non-interruptible processes. This happens when agent state management is im
The Chinese government today ordered Meta Platforms Inc. to scrap its acquisition of artificial intelligence startup Manus. The development comes about five months after the Facebook parent announced the deal. The transaction was reportedly valued between $2 billion and $3 billion. Manus develops an
Many have thrown around the idea that AI will replace the smartphone, but it seems even OpenAI disagrees as the company is working on its own smartphone that focuses on the use of AI agents. more…
Google's security team scanned billions of web pages and found real payloads designed to trick AI agents into sending money, deleting files, and leaking credentials.
Gemini has integrated AI models like Claude and ChatGPT to execute automated trading strategies via an open protocol.
Something I keep running into when building agentic workflows, and I don’t see it discussed much here: Most of us control what an AI agent can or can’t do through the system prompt — “don’t call external APIs”, “don’t delete files”, “always ask before sending emails”. It works… most of the time. But
How Choco used OpenAI APIs to streamline food distribution, boost productivity, and unlock growth—an in-depth customer story on real-world AI impact.
Most AI products are still framed around capability. Can the model answer? Can it summarize? Can it classify? Can it call tools? Can it automate the task? But as AI enters real operational workflows, I think the harder question is no longer: Can the AI do this? The harder question is: Who decided wh
Version 0.14.2 added a MongoDBSession backend; here's a working multi-agent customer-support demo that uses it, and the documents it leaves behind. The OpenAI Agents SDK has shipped session backends for SQLite, SQLAlchemy, Redis, and Dapr for a while now. With 0.14.2 (April 2026), MongoDBSession joi
