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AI agents are hitting the same inflection point. Most people think an agent is the model, the runtime, or the loop currently executing the task. Those things matter. But they aren't the agent. In this piece I'll argue that an agent is its data: specifically its history of events, which we'll call th
A junior on my team pulled me aside yesterday with that familiar frustrated look—the kind that screams he's convinced he found a massive, stupid design flaw. He pulled up our monitoring dashboard and pointed aggressively. "Look at this. I changed one freaking character in a 5 MB JSON file—only one s
I built a retrieval system over a codebase so an LLM could answer questions about it, and my first version was nearly useless. The problem was not the model or the embeddings. It was how I cut the code into chunks. Splitting source by line count shreds the very structure that makes code meaningful.
A skills marketplace sounds complicated. It is not. The core idea is simple: a directory where AI agents can discover and install capabilities they did not have when they were first set up. This is how I built the Sol AI skills marketplace at thesolai.github.io/skills/. The working version is there
If you're preparing for an Apigee API Management interview, this blog will give you a clear idea of the questions that are commonly asked. Recently, I attended an Apigee interview where the discussion focused on API security, caching, OAuth, JWT, traffic management, JavaScript policies, and real-wor
Fetching data in a React component looks harmless at first. You render a component, call an API in an effect, store the result in state, and move on with your day. It feels too small to deserve much ceremony. Then the user navigates away before the request finishes. Or they type quickly and your com
Introduction: The AI Platform Engineering Landscape AI Platform Engineering resides at the intersection of machine learning and distributed systems, where the successful deployment of scalable, high-performance AI applications hinges on robust infrastructure. As AI models grow in size and complexity
On Sunday night, the sold-out 2026 AI Engineer World's Fair kicked off its orientation at Moscone West. The sheer scale of the event was staggering, featuring an estimated 7,000 attendees — a massive leap from the 1,500 who gathered at the Marriott down the street just last year. Amid this sprawling
Every communications workflow has a question it needs answered before the first message or call goes out: what kind of number is this? Is it a mobile phone, a landline, or a VoIP line? Which carrier owns it? Has it been ported? The answers determine whether you send an SMS or place a voice call, whe
Go ships with a profiler built in. No third-party tools, no agents to install, no instrumentation to add upfront. If your service imports net/http/pprof, you can profile it live in production right now — CPU usage, memory allocations, goroutine counts, blocking operations. The data is available over
The agentic platform Harness launched Autonomous Worker Agents on Tuesday, enabling enterprises to replace fixed scripts in their delivery pipelines with AI The post “The harness is where the hard work is”: Harness bets on agents that enterprises can trust in production appeared first on The New Sta
Have you ever inherited a codebase where import boto3 appears in 47 different files? Where AWS credentials live in hardcoded environment variables and file storage is a file.save("/tmp/...") that will blow up the moment it hits an ephemeral Kubernetes pod? I did. And instead of refactoring everythin
Amazon Web Services is investing $1 billion in a new engineering organization that will work directly with enterprise customers building The post AWS just put $1 billion into forward deployed engineers. Here’s why it matters for enterprise teams. appeared first on The New Stack.
Sriram Madapusi Vasudevan discusses industry-converging patterns for securing autonomous AI agents in production. He explains the critical vulnerabilities hidden inside the ReAct loop across context, reasoning, and tool execution. He shares how to mitigate risks like memory poisoning and rogue tool
Originally published on satyamrastogi.com Attackers exploited Oracle PeopleSoft vulnerabilities to breach 100+ organizations including Nissan. Analysis of attack infrastructure, credential theft TTPs, and supply chain persistence mechanisms. Oracle PeopleSoft deployments across at least 100 organiza
The Trump administration eliminated the previous system in 2025, sparking a backlash from experts and infrastructure operators.
Argos is a recovery tool for users who had shielded funds stuck on ZEC Wallet Lite, an issue impacting some longtime Zcash supporters.
“Think Upwork for Agents with our fintech infrastructure and 150M scale in the background," an OKX rep said.
Expected to launch later this year, Open Standard said businesses will be able to mint and redeem Open USD without fees or volume limits.
Open Standard's Open USD aims to let partners keep reserve income and eliminate minting fees, challenging Circle's USDC.
