AI APIs That Simplify Complex Features
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Design Cost-Optimized Compute Solutions
Exam Guide: Solutions Architect - Associate ⚡ Domain 4: Design Cost-Optimized Architectures 📘 Task Statement 4.2 🎯 Designing Compute Optimized Solutions is about choosing compute that meets performance and availability needs at the lowest reasonable cost . First decide what type of compute the workload needs (EC2, Lambda, Fargate, containers, edge, hybrid) , then choose how to pay for it , then right-size and scale it so you are not paying for idle capacity. You are balancing: 1 Performance 2 Availability 3 Elasticity 4 Operational Overhead 5 Purchasing Model Knowledge 1 | AWS Cost Management Service Features Cost Allocation Tags And Multi-Account Billing These help you understand and allocate compute cost. 1.1 Cost Allocation Tags Track compute spend by app, team, environment, owner, co

I built an iOS app at 50 using AI tools. Here's what actually worked
When I started this project, I genuinely wasn't sure I could finish it. I'm a UX and ex-web developer — 25 years of ASP, PHP, JavaScript. Swift felt like a completely different planet. The idea had been sitting in my head for a while: a Tinder-style interface for your photo library. Swipe right to keep, swipe left to mark for deletion, review the pile before anything gets permanently removed. Simple concept. But the gap between "simple concept" and "working iOS app" felt enormous. The AI-assisted path I started with Cursor for the initial scaffolding. Then iterated with ChatGPT for smaller modifications and UI experiments. The real breakthrough came with Claude — specifically Claude Projects for keeping context across the whole codebase, and Claude Code for the final review and polish. Wha

Mura: The Source of Uneven Flow
In part 1, we explored the eight wastes ( Muda ) as the visible symptoms of inefficiency in software delivery. We saw how waste shows up in unfinished work, handoffs, long waits, rework, and lost talent. Those are the effects we can observe and feel. Those wastes are almost always the result of Mura (斑), a Japanese term from the Toyota Production System meaning "unevenness" or "inconsistency" in how work flows. It is the "hurry up and wait" cycle: periods of low activity followed by periods of frantic catch-up, that make delivery unpredictable and unsustainable. This post examines in depth how to identify uneven flow, and how modern software delivery practices work together to reduce inconsistency and create predictability. The Detection Kit The principles of Lean have been empirically val
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