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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
Leveraging the Google Agent Development Kit (ADK) and the underlying Gemini LLM to build Multi-Agent Applications with A2A protocol support using the Python programming language. Aren’t Th
Leveraging the Google Agent Development Kit (ADK) and the underlying Gemini LLM to build Multi-Agent Applications with A2A protocol support using the Python programming language deployed to AWS Fargat
Building a Dynamic Dashboard with Flask, Jinja2, HTML, CSS, and JavaScript Dashboards are one of the most common and valuable interfaces in modern web applications. They provide users with
Every side project I start does the same thing to me. New idea. Open editor. Spend 2-3 days on things that had nothing to do with the idea itself. Setting up auth, writing CRUD handlers I'd written a
🧠 Are daily standups really useful, or do we just do them out of inertia? After years working in agile environments, I’d like to open this debate: does it really make sense to have a daily
"Cool. I just did discovery, systems design, and tool selection for free." We'd spent most of the conversation talking through workflow bottlenecks, where an internal AI system would probably break
You know the folder. Every automotive project has one. /public/logos/ toyota.png honda.png ford.png kia.png ← this one's wrong kia-new.png ← is this the right one? kia_202