Inside query.ts — the 1,729-line async generator that is Claude Code's beating heart. 10 steps per iteration, 9 continue points, 4-stage compression, and streaming tool execution. With line numbers.
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AI API calls are unlike ordinary RPC: per-request cost varies 100×, tokens and models are first-class, streaming muddies timing, caching changes the pricing. A T-shaped instrumentation architecture — shared stem, specialized arms — that handles tracing, billing, and cost analytics without any of them contaminating the others.
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The MEMORY.md frontmatter spec from Claude Code's leaked source: 4 types (user, feedback, project, reference), 200-line index cap, LLM-based picker. What's right, where it breaks at scale.
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Claude Code v2.1.88 accidentally exposed 510K lines. The 5 hidden features: Kairos (permanent memory), Undercover Mode (stealth), Ultraplan (deep planning), Pet System (Buddy), Multi-Agent. Source-cited.
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Strong, eventual, causal, read-your-writes, linearizable — consistency models are taught as a taxonomy. Production uses them as a menu. Ten scenarios, the right consistency choice for each, and the engineering that makes the choice work.
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A first-principles breakdown of the entire AI stack — from LLM to Agent in one mental model. An LLM can only output text. Everything else is the program.
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gRPC interceptors are where cross-cutting concerns live — auth, tracing, retry, metrics, rate limiting. Most examples online show toy single-interceptor demos. Production systems need to stack, order, and compose them correctly. A practical guide.
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Go 1.18 shipped generics in March 2022. Four years later, the honest picture: they're useful for a narrower set of problems than the community hoped, they fit naturally in a few places, and overuse them and your code gets worse. A production retrospective.
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Most performance advice for Go is ritual — 'use sync.Pool,' 'avoid interface boxing,' 'preallocate slices.' Useful sometimes, hollow often. A production engineer's guide to profiling Go systems with pprof, reading escape analysis output, and understanding when the compiler actually inlines.
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sync.Pool is the Go feature most likely to be used incorrectly. A working engineer's guide to when pooling buffers actually saves GC pressure, when it just adds complexity, and the benchmark methodology that tells the difference.
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