courses
deep technical courses on the systems behind everything you build. buy one once and it’s yours forever.
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3 courses
distributed systems in a day
AI writes code. you architect systems. 24 lessons across 6 modules, first principles, no hand-waving.
papers every engineer should know
15 classic and modern papers that shaped how we build software, walked through one at a time. close-read, no summaries.
data structures & algorithms (foundations)
the 80% every engineer needs, from first principles. complexity, the memory hierarchy, the core structures, and the algorithms built on each. part 1 of 3.
in the works
8 courses
go foundations
from hello world to a tested, concurrent http service. you build feedstack, a real feed aggregator, one lesson at a time.
data structures & algorithms (patterns)
the structures that run production and the patterns that close interviews. balanced trees, b-trees, graphs, and dynamic programming. part 2 of 3.
data structures & algorithms (legend)
contest-grade algorithms, mapped onto cp-algorithms. segment trees, suffix automata, max flow, fft, and the dp optimizations that win icpc and codeforces. part 3 of 3.
claude code
from your first session to shipping a real api. the daily claude code workflow, from first principles.
claude code pro
extend, automate, and build on the engine. skills, hooks, mcp, subagents, agent teams, and the sdk.
ai-native system design (foundations)
design perplexity on a whiteboard. inference internals, retrieval, evals, reliability, and cost engineering. first principles, paper-backed.
building production agents
design cursor on a whiteboard. agent loops, tool use, durable runtimes, sandboxing, and agent-specific evals.
ai engineer pro
specialist ai systems where the agent layer alone isn't enough. voice agents, multimodal, long-context vs rag, computer use, and on-device inference.