Coding with AIMastery series
Claude Code Mastery
12 articles to make Claude Code your second brain in the terminal — from one-shot Q&A to multi-agent pipelines that ship features end to end.
— Articles
Five tracks. Mastery series, how-tos, field notes and dispatches from production. Republished here with the original LinkedIn social proof, indexed for search and translation.
Tools, patterns and workflows for shipping production code with AI partners — from autocomplete to autonomous agents.
Explore the track →Retrieval, prompting, evaluation, fine-tuning — the engineering layer that turns a chat model into a production product.
Explore the track →Vercel, Supabase, Stripe, Resend, AWS — wiring the pieces together so an AI product ships in days, not quarters.
Explore the track →Multi-agent systems, cost engineering, eval pipelines, scaling strategies — the architectural decisions that make or break an AI product.
Explore the track →MCP servers, hooks, custom tools, terminal-first patterns — the daily-driver workflows of AI-augmented developers in 2026.
Explore the track →In this track
Coding with AIMastery series
12 articles to make Claude Code your second brain in the terminal — from one-shot Q&A to multi-agent pipelines that ship features end to end.
In this track
RAG & LLM EngineeringMastery series
From a naive vector search demo to a production RAG with evaluation pipelines, hybrid retrieval, re-ranking, and cost discipline.
In this track
Cloud Infrastructure for AIMastery series
Vercel + Supabase + Stripe + Resend + AWS, wired together so an AI product ships in days, not quarters. The opinionated reference.
In this track
AI ArchitectureMastery series
Multi-agent topologies, eval pipelines, cost engineering, scaling strategies — the architectural decisions that make or break an AI product in production.
In this track
Productivity & WorkflowsMastery series
MCP servers, hooks, custom tools, terminal-first patterns. The daily-driver workflows of AI-augmented developers in 2026.
Where this is going in 2026 and beyond. What I'd bet on, what I would not, and the line where I get sceptical of the hype.
Read article →Once you've outgrown the defaults: hooks for deterministic side effects, MCP servers for org-specific data, custom tools, and system-prompt surgery.
Read article →How engineering teams are actually integrating Claude Code today. The shared .claude/ folder, the review rituals, and the anti-patterns I keep seeing in the wild.
Read article →Letting Claude Code own the entire test loop. Including the parts that make engineers nervous: regressions, flakies, integration tests, and the stack-trace whisperer.
Read article →From Linear ticket to merged PR with Claude Code. A real, honest walk-through — what the prompt looked like, what the agent got right, what I caught in review.
Read article →Chaining sub-agents, running them in parallel, and the patterns for 'review-while-coding' without losing your mind. Where Claude Code starts to feel like a small engineering org.
Read article →— 1-on-1
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