Claude Code agents write code fast. Too fast to catch quality issues in real-time. Here’s how to build validation directly into agent workflows using hooks and team coordination - micro validation after every file write, macro validation before completion, and independent review from validator agents.
Instrumented Redis 7.2 with drainability profiling to measure jemalloc slab fragmentation. Found critical asymmetric accounting bug, fixed with symmetric fastpath instrumentation. Final result: deleting 50% of keys freed 195K objects but achieved 0% drainability - genuine structural fragmentation detected and validated.
From theory to practice: integrating drainability profiling into temporal-slab. See validation results (DSR = 1.0 - p), diagnostic mode pinpointing slab_lib.c:1829, and step-by-step integration guide for your allocator.
Everyone thinks they know JSON. But do you know why it was created, what problems it solved, and more importantly - what problems it created? Part 1 explores JSON’s origins, its triumph over XML, and the fundamental weaknesses that spawned an entire ecosystem of extensions.
JSON lacks types and validation - any structure parses successfully. JSON Schema solves this by adding a validation layer without changing JSON itself. Learn how to define schemas, validate at runtime, generate code, and build type-safe APIs.