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Hey everyone! If you are building modern JavaScript applications—whether you are querying a database, writing an API in a Node.js environment, or triggering a heavy media generation task—you are going
IT InstaTunnel Team Published by our engineering team Scaling Localhost: Building Serverless Exit-Nodes for High-Throughput Development Scaling Localhost: Building Serverless Exit-Nodes for High-Throu
🔰 Introduction If you're building a general-purpose Razor component in Blazor, you've probably wanted to expose the DOM events happening inside it as the component's own event callbacks. Th
Why Personal Development Feels Broken For years, I tried to improve myself the “normal” way. Books. Videos. Courses. Podcasts. Every time, it felt like progress. I understood new ideas, g
When you begin building with large language models, calling providers like OpenAI, Anthropic, or Google directly feels straightforward. One app, one API, one model. That simplicity does not last long.
Agentic AI control plane governance is the architecture problem most teams are not modeling — and the one that will produce the most expensive failures in 2026. The control plane became the most se
The Model Context Protocol (MCP) is becoming the standard interface for connecting AI models to external tools and data sources. But as MCP servers move from local developer setups into production env
The use() hook landed in React 19 and immediately changed how I think about data fetching. Not because it's magic — but because it finally makes Suspense-based data fetching feel like something you'd
Anthropic did not ship Claude Mythos Preview to the public. They staged it through Project Glasswing, a coordinated disclosure program routing the model to critical-infrastructure operators and upstre
My Manus AI workflow used to be: think of task → write prompt → wait → repeat. Now it's: think of task → Credit Optimizer handles the rest. What Changed Automatic model selection: Each p
ContextZip started as a fork of RTK (Reduce Toolkit). Three weeks later, it was a different tool with 1,056 tests and coverage for 102 CLI command patterns. Here's what building it looked like.
AI agents are getting cheaper per-token, but total costs are rising. Here's why. The Paradox As AI gets better, we use it for more things. My Manus AI usage went from 50 tasks/month to 200
Building AI-Powered Code Review Automation with Python and GitHub Actions Code reviews are essential for maintaining code quality, but they're also one of the most time-consuming parts of t
Build Your Own AI Code Assistant: LocalLLM + Python Automation Cloud-based AI code assistants are convenient, but they come with trade-offs. Your code snippets get sent to external servers,
Build Your Own AI Code Review Bot with Claude API and GitHub Actions Code reviews are essential for maintaining quality, sharing knowledge, and catching bugs before they reach production. B
imnot is an open source stateful API mock server. This is the story of why I built it. The ticket that changes your afternoon A support ticket arrives: "For this specific transaction, t
You know that moment when you're onboarding onto a new project, someone says "the API collection is in Postman," and your heart sinks a little? You need to create an account, sync a workspace, hope yo
I tracked every Manus AI task for 30 days. Here's what I found about credit usage and optimization. Usage Breakdown After categorizing 847 tasks over 30 days: Category % of Tasks Avg C
Every new project starts the same way. You spin up an AWS account. You need a VPC. Three AZs, public and private subnets, NAT Gateways. Then you need security — CloudTrail, GuardDuty, IAM hardening.
Astra doesn’t include a native dark mode, so most solutions rely on plugins that automatically invert colors and the result usually looks wrong. I ran into this problem while working on several WordP