Production-oriented PostgreSQL guidance covering specialized index types (GIN, GiST, BRIN, hash), JSONB modeling, table partitioning, connection pooling, autovacuum tuning, and logical replication.
Modern Python style guidance for 2026: PEP 8 fundamentals, Ruff configuration and rule selection, naming conventions, PEP 604/695 type hint style, and docstring conventions for maintainable, agent-readable code.
Language-level Python best practices covering error handling, context managers, data modeling choices (dataclasses vs Pydantic vs dicts), logging, pathlib, and structural pattern matching for maintainable production code...
Production-grade React guidance for 2026: the Rules of Hooks, Server Components vs Client Components, the modern state management landscape (Zustand, TanStack Query, Redux Toolkit), and common rendering performance pitfa...
Production guidance for Redis covering core data structure selection, caching patterns (cache-aside, write-through), eviction policies, RDB vs AOF persistence trade-offs, pub/sub vs streams, and Redis Cluster fundamental...
Idiomatic Rust patterns for ownership and borrowing, error handling with thiserror and anyhow, choosing between traits/generics/dyn dispatch, and async programming with Tokio, targeting production-grade Rust codebases in...
Language-agnostic secure coding fundamentals: input validation, output encoding, secrets management, least privilege, dependency and SCA scanning, and secure-by-default design applicable across Python, JavaScript, Rust, ...
Cross-language guide to the classic structural Gang of Four patterns for composing objects and classes into larger structures, with modern Python, TypeScript, Go, and Rust idioms and honest trade-off analysis for 2026 co...
Agent-facing 2026 TypeScript guidance: verified TS 6.0/7.0 release timeline (Go-native compiler RC), the excess-property-check structural-typing footgun with its exact trigger conditions, and strict-mode flags worth enab...
The pyramid-vs-trophy debate (Fowler/Google vs. Kent C. Dodds) with attribution, Google's small/medium/large size taxonomy and 80/15/5 split, the Luo et al. flaky-test root-cause taxonomy with real percentages, and mutat...