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I still don't want to give Claude SSH access, so I built a doctor for my homelab

A few weeks ago I wrote about why I don't want to give Claude SSH access to my home server. It's not that AI agents are useless. It's the opposite. They got good enough that handing one a shell start

dev.to May 18, 2026 Read more →

GemmaChallenge: Build a Socratic Study Buddy with Gemma 4

This is a submission for the Gemma 4 Challenge: Build with Gemma 4 What I Built I built a local Socratic Study Buddy application. It pairs the localized inference engine of LM Studio with

dev.to May 18, 2026 Read more →

AI fixed how fast I can build. It broke how I know what I'm building.

A markdown convention I wrote to track 5-10 half-built projects without losing my mind, and without another SaaS subscription. TL;DR. AI made it cheap to generate ideas, draft plans, and start proje

dev.to May 18, 2026 Read more →

my apps were invisible to AI agents — here's what I am doing about it

i'm an indie app builder and vibe coder. i've shipped over 30 small business apps — invoicing, inventory, packing slips, tax tracking. and now apparently an open standard for ai agents. that last one

dev.to May 18, 2026 Read more →

Debugging DNS leaks: why your VPN isn't hiding what you think it is

Last month I was setting up a hardened dev environment for a client doing security research. They wanted all traffic from their workstation tunneled through a VPN, no exceptions. Simple, right? Instal

dev.to May 18, 2026 Read more →

Build a Socratic Study Buddy with Gemma 4: A Beginner’s Guide to Running AI Locally

The landscape of AI has shifted from "bigger is better" to "smarter is better." We are entering the era of intelligence-per-parameter—a metric of how much reasoning power is packed into a compact mode

dev.to May 18, 2026 Read more →

Engineering RAG Systems That Actually Work: Conversational Retrieval, Page Awareness & Debugging (Part 5)

From a working prototype to something that actually behaves like a real system. Introduction In the previous parts, we built a fairly solid RAG pipeline: Vector search using FAISS

dev.to May 18, 2026 Read more →

Everyone is vibe coding but nobody is maintaining the vibe code.

Six months after the AI-generated prototype ships to production, the engineer who wrote zero of it is on call at 3 AM trying to understand it. Vibe coding is real and it works for what it is. You can

dev.to May 18, 2026 Read more →

I shipped a partial solution to MEME's Absence task 6 days before the paper. By accident.

Note (added 2026-05-17 after publish): this memory layer is being renamed from to zenmind-mem. GitHub repo link below still points to the active org/name — repo rename + redirect pending. The MEM

dev.to May 17, 2026 Read more →

Parsing hundreds of megabytes of JSON in milliseconds in React Native

How JSON.parse materializes entire documents in JavaScript, and how react-native-fast-json uses native simdjson + lazy JsonView access to change the cost model in React Native. react-native-fast-json

dev.to May 17, 2026 Read more →

🏏 Building Captain Cool AI (Third Umpire AI): An Agentic AI-Powered Cricket Intelligence Platform Built at Agentic Premier League Pune

🏏 Building Third Umpire AI: How I Created an Agentic AI-Powered Cricket Intelligence Platform at Agentic Premier League Pune Turning cricket into a real-time AI strategy engine using Agent

dev.to May 17, 2026 Read more →

🏏 Building "Captain Cool": A Multi-Agent IPL Strategist with Google Antigravity & Gemini 2.5

Cricket is a captain's game. It’s not just about the numbers; it’s about the gut feeling, the matchup risks, and anticipating what the opposition will do next. For the Google Gemini Hackathon, I had

dev.to May 17, 2026 Read more →

Build with AI - APL GDG Pune

📊 Analyst Output: "Venue verified as Mumbai. Tool execution confirmed: Surface is a flat highway with high moisture levels. Humidity tracking at 72%. The leather will be exceptionally difficult to gri

dev.to May 17, 2026 Read more →

STRAT- built for the last over

STRAT is an AI-powered IPL tactical command center built to simulate how real cricket captains think under pressure. Instead of behaving like a generic chatbot, STRAT creates a live “AI war room” wher

dev.to May 17, 2026 Read more →

I Built an AI IPL War Room Using Gemini Multi-Agent Reasoning 🏏

What if an IPL captain had an AI tactical war room? Not a chatbot:) A system where multiple AI agents debate: who bowls next whether Bumrah should bowl now or later when to attack how dew changes s

dev.to May 17, 2026 Read more →

🏏 Building "Captain Cool": A Multi-Agent IPL Strategist with Google Gemini

Cricket is a captain's game. The margin between an IPL trophy and crashing out in the playoffs is often a single, split-second tactical decision: who bowls the 19th over? Do you bring in the spinner a

dev.to May 17, 2026 Read more →

Agentic coding isn't a trap. Lazy engineering is.

The hottest take in developer discourse right now isn't about frameworks or languages. It's about whether AI agents are silently destroying your codebase. A viral post recently called agentic coding

dev.to May 17, 2026 Read more →

Learning the Web Platform APIs As If You Built Them Yourself

If you have ever reached for a library to do something the browser already does, you have met the gap this post is about. Need a debounce? You wrote a useEffect. Need to detect when a card scrolls int

dev.to May 17, 2026 Read more →

Captain Cool AI: A Multi-Agent IPL Tactical Strategist Built Powered by Google Gemini

Cricket is often called a batter’s game, but in T20 cricket, it is equally a captain’s game. One tactical mistake—bowling spin into heavy dew, using your best death bowler too early, or making the wro

dev.to May 17, 2026 Read more →

Captain Cool — A Multi-Agent IPL Strategist Built on Gemini

Captain Cool: A Multi-Agent IPL Strategist Built on Gemini Cricket is not just about big hits and wickets. It is also about smart decisions. Every over, every bowling change, and every batt

dev.to May 17, 2026 Read more →
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