Topic
20 articles found
If you've built anything with LangGraph past the demo stage, you've probably had the same uneasy moment I did. The agent works, it's calling tools, it's doing real things, and then you realize the only thing stopping it from doing the wrong real thing is a line in the prompt that says "please don't.
I have done this setup process more times than I want to count. Every time I find something that the documentation skipped or assumed. This is the version I wish I had read first. This covers deploying a production-ready self-hosted LLM inference server for an enterprise RAG use case. I am using Lla
A crypto project gets something wrong, so you go looking for help. Its website points you to a Discord. You open the Discord, and the pinned message warns you about impersonators and says staff will never DM you first. Then someone DMs you. They are in that same Discord, because the official support
The financial data industry runs on vibes and legacy software. Bloomberg Terminal: $24,000/year for a keyboard from 1983 and a UI that looks like it was designed by someone who genuinely hates users. Koyfin: prettier, but $600/year and you're still just renting access to the same SEC filings that ar
So here's what happened: from GPT-4o to DeepSeek: My Multi-Region Cost Optimization Story I've been running LLM inference in production for the better part of three years, and if there's one thing that's kept me up at night more than anything else, it's the invoice. Last quarter my team burned throu
When I first started learning cloud computing, I kept hearing terms like Azure, AWS, IaaS, PaaS, and SaaS. It felt like everyone already understood the language except me. The good news is that cloud computing is much simpler than it initially sounds. In this article, I'll break down the fundamental
Deploy Your Own AI Agent in 5 Minutes — No Kubernetes, No YAML, No Tears I've been there. You find an amazing open-source AI agent framework on GitHub. You get excited. You clone the repo. You open the README. And then... "First, install Python 3.10, configure your virtual environment, set up Redis,
Five articles built the runtime. The sixth made it observable. This one introduces the agent primitive: runAgent plus AgentScope, with budgets, replayable events, and structured cancellation in the box. The whole loop: import { runAgent, AgentToolCalls, OpenAITokens } from "@workit/core/ai"; import
I've been running Linux and Ubuntu for nearly 20 years. I can date it almost exactly, because I still have the email from my Dad back in early 2007 telling me he'd just installed Ubuntu. That's where this started. The big trend the last couple of years is obviously AI and the large language models,
Since its creation in 2017, GitGuardian has automatically detected secret leaks in all public commits on GitHub, and sent warning emails to the developers concerned through its Good Samaritan Program. Although this method is efficient and enables secrets to be revoked quickly, it does have certain l
The bottleneck in software development has moved. Writing code is no longer the constraint. Getting it safely to production is. The post AWS puts an AI bouncer at the merge queue appeared first on The New Stack.
Building a production dialogue system requires more than wrapping a chat endpoint in a UI. You need to manage conversation state, handle tool calls, maintain persona consistency across dozens of turns, and keep latency low under load. The infrastructure you choose determines whether your system stay
Rep. Barry Moore clinched a win in Alabama after being bolstered by millions of dollars from the crypto industry.
A Miami-based man who went by the name “Bitcoin Rodney” pleaded guilty for his role in what prosecutors said was a massive global fraud.
AWS Security Agent now adds STRIDE-based threat modeling, full repo and PR code scanning with remediation across major Git platforms, and IDE integrations via Kiro power, Claude Code plugin, and MCP — letting developers run security reviews and fix issues without context switching.
AWS DevOps Agent now offers release management capability in preview, reviewing code changes for release readiness and running autonomous release testing to help you ship code to production safely and with confidence.
An OS command-injection flaw was disclosed earlier this month, according to researchers.
Build and Deploy a Remote MCP Server to GKE in 30 Minutes Integrating context from tools and data sources into LLMs can be challenging, which impacts the ease of development for AI agents. To address this challenge, Anthropic introduced the Model Context Protocol (MCP), which standardizes how applic
AWS Transform – continuous modernization (preview) automatically scans code repositories to detect, prioritize, and remediate technical debt at scale.
AWS introduces Web Search on Amazon Bedrock AgentCore, a fully managed tool that enables agents to ground responses in current, cited web knowledge with zero data egress from customer's secured AWS environment. You can focus on building agents instead of manually adding web search to agents on Bedro
