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The $15 Per Ride You Didn't Know About: What 243 Million NYC Taxi Rides Reveal Lyft pays wheelchair-accessible drivers 204% of fare — a flat ~$15/ride bonus regardless of trip distance. Uber pays 101%. Same city, same mandate, completely different economics. 243 million high-volume for-hire vehicle
Building Adaptive Learning Systems: Lessons from Sikho.ai Over the past year we have been building Sikho.ai — an AI-native learning platform that adapts in real time to each learner. Along the way we picked up some hard-won lessons about what adaptive systems actually require in production. This pos
Why I Built My Own AI Tutor (and What I Learned) Most devs have built a side project chat wrapper around OpenAI or Anthropic. Few have tried to turn one into a real learning tool. This post is about what changes when you do — and what I learned building Sikho.ai. Hooking a model into a UI takes an a
“There are only two hard things in computer science: cache invalidation and naming things.” It’s been about a year since I started using AI daily. In my core role as an SRE/DevOps engineer, AI behaves like a very fast and very obedient assistant. It helps me collect data across services via MCP, gen
Software Development Life Cycle : SDLC (Software Development Life Cycle) model is a structured, step-by-step framework that defines how software is planned, designed, built, tested, and deployed to ensure high quality and efficiency. It breaks development into phases—typically planning, analysis, de
What is SDLC? It ensures: SDLC Phases (Simple Understanding) SDLC Models with Examples 1. Waterfall Model Example: 2. V-Model Example: 3. Incremental Model Example: 4. Iterative Model Example: 5. Spiral Model Example: 6. Agile Model Example: 7. DevOps Model Example: 8. Big Bang Model Example: A smal
Three Lessons From Shipping an AI Product to Real Users Six months in to running Sikho.ai at meaningful scale, here are three lessons we keep relearning. Sharing for any team about to ship their own AI product. Users will tolerate quite a lot from an AI tutor. Mistakes. Long answers. Occasional weir
Article Mano-P: Open-Sourcing the #1 GUI Agent on OSWorld — Pure Vision, On-Device, Apache 2.0 Today we're open-sourcing Mano-P under Apache 2.0. GitHub: https://github.com/Mininglamp-AI/Mano-P Mano-P is a pure-vision GUI agent. It looks at your screen — literally a screenshot — understands the UI e
Modern observability—think Grafana, Datadog, New Relic, and similar stacks—gives you deep insight: traces, service maps, golden signals, and often real-user monitoring. That raises a fair question: if telemetry is everywhere, why run uptime checks and synthetic monitors? They answer different questi
This is a submission for the DEV April Fools Challenge TL;DR Upload a screenshot → Hotfix roasts it Gemini generates structured incident reports Community votes via escalation system + shares Top incidents become global P0 disasters Hotfix files serious incident reports. It does not understand that
This is a submission for the DEV April Fools Challenge 🎤 Scream to Adjust volume or Skip Ads (But You Can’t) Because clearly, the problem with modern apps is that they don’t make you scream enough. I built a completely unnecessary, emotionally draining, and technically over-engineered web app where
🚀 My Journey Into Python Hello everyone 👋 My name is Amir Hesham, and I’m an aspiring Python developer and Computer Science student. I recently started my journey into programming, and I want to share how it’s going so far. I chose Python because: It’s beginner-friendly It’s powerful and widely us
Why people leave remove.bg Remove.bg is excellent at what it does. The AI is fast, handles hair well, and the results are clean. The problem is the pricing. The lowest plan is 25 credits for 9 euros, roughly 36 euro cents per image or about 39 US cents. If you're an e-commerce seller processing 120
Flutter×Supabaseで「AI大学」を34社対応に拡張した話 — 毎日自動更新するAI学習プラットフォーム はじめに 個人開発アプリ「自分株式会社」の中で最も差別化が進んでいる機能が AI大学 です。 Google、OpenAI、Anthropic、Meta、DeepSeekなど、乱立するAIプロバイダーを横断的に学習できるプラットフォームを Flutter Web + Supabase で構築し、34社対応まで拡張しました。 この記事では: AI大学の基本設計とDB構造 34社のコンテンツを GitHub Actions で2時間ごと自動更新 する仕組み スコア・ストリーク・バッジ
How I Automated CS, Bug Fixes, and Competitor Monitoring with Claude Code Schedule — Zero Servers, Zero API Cost Title Options How I Automated CS, Bug Fixes, and Competitor Monitoring with Claude Code Schedule 9 Automated Tasks Running 24/7 Without a Server — Claude Code Schedule From Support Ticket
What Instagram actually does to your photos Every photo you upload to Instagram gets re-compressed. There are no exceptions. Instagram takes your file, resizes it if needed, re-encodes it as JPEG, and stores a much smaller version. The original is gone. How aggressive is this compression? Tests show
Originally published on Truthlocks Blog Think about how you onboard a new hire. On day one, they get a badge, a laptop, and access to the tools they need for their specific role. They do not get the root password to the production database. Over time, as they prove themselves reliable and competent,
Originally published on Truthlocks Blog Over the past thirty years, the technology industry built an entire discipline around human identity. We created passwords, then realized they were not enough. We added multi factor authentication. We built single sign on systems so people could authenticate o
Parsing real-world human conversation into structured machine state is miserable. When I first started building an AI meeting copilot, I assumed I could just dump raw meeting transcripts into a prompt, ask an LLM to spit out a JSON object containing "action items" and "sentiment," and write the resu
Build Your Own JARVIS: A Deep Dive into Memo AI - The Privacy-First Local Voice Agent How I built a voice-controlled AI that executes system tasks, generates code, and takes notes—all without sending a single byte to the cloud. In an era where every voice command to Alexa, Siri, or ChatGPT is logged
