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ExternalSoftware Engineering
DEV Community

An Agent on a Leash, or why my AI agent doesn't make business decisions

This post kicks off an ongoing experiment: building an LLM-powered support agent you can actually trust, one decision at a time. Everything described here ships in the companion repo reliable-ai-support (code as of this post: tag post-001), which grows as the series does. Where I mention future topics, read them as current intentions, not contracts — the whole point of building in public is that the plan bends to what actually works. Picture this: It's 2 AM. A customer messages our support chann

javaaillm
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ExternalSoftware Engineering
DEV Community

My AI Agent Recommended a Non-Existent Investment Product — Exposing Information Gaps Between Fund Distributors and Asset Manage

Hey everyone, it's your average 38-year-old developer here, hacking away at AI agents and automated trading bots in my evenings and weekends, just like many of you. Today, I want to share a recent blunder with a financial information AI agent I built. What started as a chuckle-worthy mistake turned into a serious lesson about "information reliability" — a critical factor that can be fatal for any automated system design. With the new NISA (Japan's tax-advantaged investment program) kicking off,

aipythonautomation
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ExternalSoftware Engineering
DEV Community

Let AI Write the Mac OS App Without Learning Swift

AI keeps accelerating through the tech industry. Just like many other laid-off tech workers, I feel little miserable how far has AI really affected companies to minimize or eliminate junior to mid level software engineers. Starting last year I've been using the basics of premium GitHub plan with various versions of Claude Code, Gemini, and GPT, to generate bare bones of applications and components, use auto-inspect-and-suggest coding segments, and ask technical questions about certain issues i

aiprogrammingswift
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ExternalSoftware Engineering
DEV Community

.NET 10 BufferedStream WriteByte: Flush Full Buffers Explicitly

BufferedStream.WriteByte had a surprising side effect through .NET 9: the call at its internal capacity boundary also called Flush() on the wrapped stream. The .NET 10 BufferedStream WriteByte behavior removes that implicit flush. Bytes can still move to the underlying stream when the buffer needs room, but that capacity boundary no longer becomes an accidental flush boundary. That distinction matters when a custom stream, protocol adapter, compressor, or test double gives Flush() observable mea

dotnetcsharpdebugging
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ExternalSoftware Engineering
DEV Community

How I developed a Real-Time Micro Social App (Kcee Chatify)

Hey everyone! I just launched a new web project called Kcee Chatify, and I wanted to share it with the community. It is a real-time micro-social platform where anyone can drop a message to a public feed instantly. 🚀 Check out the live app here: https://kceechatify.netlify.app/ I wanted to focus on core web technologies and API routing, so I built it using: Frontend: HTML, CSS, and Vanilla JavaScript Backend: Node.js and Express Database: SQLite Hosting: Netlify (Frontend) and Render (

javascriptnodeshowdev
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ExternalSoftware Engineering
DEV Community

How I Built a Real-Time Micro Social App (Kcee Chatify)

Hey everyone! I just launched a new web project called Kcee Chatify, and I wanted to share it with the community. It is a real-time micro-social platform where anyone can drop a message to a public feed instantly. 🚀 Check out the live app here: https://kceechatify.netlify.app/ I wanted to focus on core web technologies and API routing, so I built it using: Frontend: HTML, CSS, and Vanilla JavaScript Backend: Node.js and Express Database: SQLite Hosting: Netlify (Frontend) and Render (

javascriptnodeshowdev
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ExternalSoftware Engineering
DEV Community

We paid real USDC 1,596 times to x402 endpoints. 653 settled.

x402 is the HTTP 402 payment protocol: a server answers 402 Payment Required with the price It does not prove that anything was delivered. We have been buying from that catalog with real money to find out what actually happens after $ curl -s https://vet402.com/api/v1/observatory/state l1.attempts 1596 l1.settled 653 l1.endpointsAttempted 1005 totalEndpoints 19023 activeEndpoints 15251 delistedEndpoints 3772 publishedPass 1246 publishedUnveri

aiopensourceapi
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ExternalSoftware Engineering
DEV Community

Most Kubernetes clusters can't tell you what their GPUs cost

I built a small tool to answer one question: how many GPU-hours is a cluster paying for and not using? Then I pointed it at real production clusters. Not one of them could answer the question out of the box and the reasons are the same everywhere, because they're all defaults nobody changes. Here's what I found, in the order it bit me. Almost every GPU dashboard is built on DCGM_FI_DEV_GPU_UTIL. It's the obvious choice it's called utilization, it's a percentage, it goes up when things get busy

kubernetesgpudevops
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