From Vibe Coder to Software Engineer: Part 3: Mastery (Days 21–30) - A 30-Day Guide to AI Workflows and Production Engineering

Master enterprise DevOps, cloud orchestration, observability, and agentic AI workflows!

In Part 3: Mastery (Days 21–30) of the From Vibe Coder to Software Engineer series, follow Leo as he completes his transformation into a professional software engineer—leading architecture decisions, automating CI/CD pipelines, and mastering agentic AI tools.

Going from a junior developer to a senior practitioner requires systemic mastery over testing, cloud deployments, telemetry, and modern AI protocols. Part 3 delivers 10 custom blueprint infographics, advanced production walkthroughs, and high-stakes engineering incident analysis.

• Day 21: Automated Testing Pyramid — Unit, integration, and E2E testing with Jest and Playwright.
• Day 22: Advanced Debugging & Error Handling — Stack trace analysis, VS Code breakpoints, and root-cause resolution.
• Day 23: Agile Engineering & Kanban — Story point estimation, WIP limits, and GitHub PR reviews.
• Day 24: CI/CD & Automated Pipelines — GitHub Actions workflows, linting, testing, and blue-green deployments.
• Day 25: Docker & Kubernetes Orchestration — Lightweight container images, Dockerfiles, and cloud infrastructure.
• Day 26: Observability & Telemetry — Metrics, structured logging, and distributed tracing.
• Day 27: Human-in-the-Loop AI Coding — Prompt engineering, AI code audits, and context window optimization.
• Day 28: Model Context Protocol (MCP) — Connecting LLMs directly to local databases, tools, and APIs.
• Day 29: Enterprise Architecture Review — Modular Monoliths vs. event-driven Microservices.
• Day 30: Engineering Capstone — 30-day competency evaluation and career roadmap.

Features real-world disaster case studies, including the 2024 CrowdStrike global Windows outage, the 2012 Knight Capital $440M collapse, and the 1962 NASA Mariner 1 crash.

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