What breaks, what scales, and what I'd do differently — from RAG pipelines and Kubernetes bills to the career pivot itself. No listicles, just what actually happened.
A failed attempt at hacking Wi-Fi on an underpowered laptop in 8th grade turned into a decade-long path through Python, self-taught full-stack development, and now AI agent systems for real businesses.
What nobody tells you about retrieval-augmented generation until you're debugging at 2am — chunking strategies, embedding drift, and latency traps that will bite you.
Beyond the basics — worker pools, fan-out/fan-in, semaphore-bounded goroutines, and the context cancellation patterns that keep distributed systems from turning into memory leak generators.
A practical walkthrough of the resource requests, node sizing, cluster autoscaler tuning, and spot instance strategies that slashed our monthly EKS spend from $14k to $5.6k.
The unglamorous reality of going independent — how I priced my first engagements, what I got wrong, and the systems I built to replace the stability of a full-time role.
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If you're wrestling with something similar — RAG, agents, cost, or the jump to independent work — I'm happy to compare notes.