https://pravin.dev/Pravin on SoftwareA blog which shares my knowledge while working as Software Engineer. 2026-09-10T21:19:11+05:30 Pravin Tripathi https://pravin.dev/ Jekyll © 2026 Pravin Tripathi /assets/img/favicons/favicon.ico /assets/img/favicons/favicon-96x96.png The AI Dev Lifecycle: Plan, Code, Test, Refactor, Document2026-09-08T00:00:00+05:30 2026-09-10T21:18:09+05:30 https://pravin.dev/posts/ai-dev-lifecycle/ pravin_tripathi TL;DR AI assists every stage of the development lifecycle — but engineering oversight is non-negotiable at each one. The rule: AI generates, engineer decides. Never approve code you don’t understand. This post does not introduce new machinery for the five phases. Plan reuses the Analyst persona and REASONS Canvas from Agentic TDD & SPDD. Code reuses the QA/Architect persona split an... Prompting and Code Review: Templates, Iteration, and Security2026-09-07T14:00:00+05:30 2026-09-10T21:18:09+05:30 https://pravin.dev/posts/prompting-code-review/ pravin_tripathi TL;DR A structured prompt is a function signature: define role, task, constraints, and expected output explicitly. This post doesn’t invent a new template — it takes the REASONS Canvas and the QA/Architect persona split from Agentic SPDD, and the SOLID / pattern vocabulary from Design Patterns and layering vocabulary from Software Architecture, and packages all of it into two reusable, pl... Vibe Engineering: Quality Control for AI-Generated Code2026-09-07T10:00:00+05:30 2026-09-10T21:18:09+05:30 https://pravin.dev/posts/vibe-engineering-intro/ pravin_tripathi TL;DR Vibe Engineering is the disciplined practice of directing, reviewing, and owning AI-generated code — not just accepting whatever the model outputs. AI tools produce code that compiles but routinely violates SOLID, skips error handling, and hides security issues. A systematic red-flag checklist and a quality pyramid are your first line of defence — and every item on that checklist ... Cloud-Native and Microservices: Scale, Resilience, and the 12-Factor App2026-09-06T20:00:00+05:30 2026-09-06T20:00:00+05:30 https://pravin.dev/posts/cloud-native-microservices/ pravin_tripathi TL;DR Cloud-native architecture builds systems that run reliably on distributed infrastructure by following the 12-factor methodology — regardless of language or framework. Microservices are independently deployable units — use them only when you’ve outgrown a monolith. Resiliency patterns (circuit breakers, retries, idempotency) are essential for services that call other services over ... Data and AI Architectures: Pipelines, RAG, and Observability2026-09-06T14:00:00+05:30 2026-09-08T08:55:01+05:30 https://pravin.dev/posts/data-ai-architectures/ pravin_tripathi TL;DR Modern systems combine batch pipelines, streaming data, and ML inference — each with distinct architectural needs, in any language or stack. Retrieval-Augmented Generation (RAG) is the dominant pattern for grounding LLM responses in your own data — and it is itself a small architecture, with the same layering discipline as everything else in this module. Build observability into A...