AI Writes the Code.
You Still Make the Call.

A practical reference catalog of the eight architectures worth knowing — layered, modular monolith, hexagonal, event-driven, CQRS + event sourcing, microservices, serverless, and the strangler fig. Each with a diagram, the forces that make it the right call, the failure mode that makes it the wrong one, and a link to runnable reference code. Plus a decision flowchart so you pick on fit, not hype.

AI moved the engineering bottleneck from writing code to reviewing it — and most org charts haven't caught up. The Generation–Review Ratio, why cutting junior hiring is a five-year trap, the four roles every AI-native team needs, and how to rewrite hiring and leveling for 2026.

Vibe coding — prompt, accept, repeat — produces fast demos and slow disasters. The senior move is spec-first development: invest in a precise specification, let agents implement against it with MCP for real context, and gate everything behind tests, types, and human review of intent. The four-phase loop, why the spec becomes the asset when code is cheap, where autonomous PRs actually fit, and the failure modes (context rot, confident wrongness, review debt) that bite teams who skip the discipline.

Battle-tested architecture patterns for Indian startups scaling from thousands to millions of users. Practical implementation strategies with real-world examples.

Key insights from leading engineering teams through hypergrowth, from startup agility to enterprise structure.

Senior engineers waste hours typing the same Copilot prompts repeatedly. GitHub Copilot Agents (.agent.md files) let you encode expertise once, reuse forever. Built 4 production agents that coordinate: reduced article writing 12 hours → 90 minutes. Learn Agent Maturity Model, 3-Gate Validation Framework, Agent Design Canvas, and orchestrator patterns. Real .agent.md files, metrics from 6 months production use.