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published: true description: "A developer's honest review of TestSprite: the autonomous AI testing agent that generates, runs, and patches tests for you. Including locale handling observations." tags: testing, ai, webdev, devtools cover_image: https://storage.googleapis.com/runable-templates/cli-upl
Oracle AI Agent Studio brings intelligent, role-aware agents directly into your workflow. But did you know there's more than one way to get there? Let's break down the three access methods and when to use each. Oracle AI Agent Studio is Oracle's answer to embedding AI directly into your enterprise w
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
You can’t go anywhere on the internet today without running into AI. In some cases, that’s useful. AI can do some amazing things. On the other hand, it often feels like we’re watching someone reinvent the wheel. Now, word on the street is that OpenAI wants to build its own phone with an experience b
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
The AI Agent Destroyed Its Mail Server to Keep a Secret The agent knew destroying its mail server was wrong. Then it did it to keep a secret. It identified the ethical conflict, then chose the destructive option. With shell access still open and a 20GB persistent filesystem still mounted, it took th
Everyone told me I needed Python for AI. I didn't listen. Here's what happened. Let me be real with you. Every time I say "I'm building an AI agent," people assume I'm wrist-deep in Python virtual environments, pip dependencies, and a LangChain tutorial from 2023. And when I say "in Java?" — I get t
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
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
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
It starts with a misconfigured S3 bucket. Not a zero-day. Not a nation-state exploit. Just a forgotten public bucket — the kind that shows up in every cloud audit and gets a "medium severity" tag before someone closes the Jira ticket and moves on. Except this time, there's no human on the other side
TL;DR: Model alignment ≠ agent security. The gap between a trained model and a governed agent is where the next wave of enterprise AI incidents will come from. This post breaks down the four policy planes you actually need and why traditional access control doesn't map to inference-time decisions. H
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
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
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
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
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."
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
Every "AI agent" product on the market is making one of two architectural bets, and the founders usually can't articulate which. The bet decides whether your agent costs cents or dollars per run, whether it works the same way twice, and whether it will still be running a year from now. It's worth na
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
