All Notes & Ideas
🌱 Seedling Thoughts(46)
REST API maturity models, API-first methodology, HTTP semantics, security, rate-limiting, idempotency, streaming, and distributed resilience.
How Go is used in production fintech systems: architecture, idioms, patterns, and financial-domain problems.
A practitioner-oriented reference for the most popular AI tools, libraries, and frameworks in the Go ecosystem.
A categorized reference to the most widely adopted libraries, frameworks, and tools in Go.
A field guide to the most widely used command-line tools and libraries in the Go ecosystem.
The full toolchain and mental models needed to diagnose CPU, memory, and concurrency issues in Go.
Everything a senior or staff Go engineer should know about database/sql, connection pooling, and transaction semantics.
The context package and error handling — two of the most important and most misunderstood topics in idiomatic Go.
A deep dive into Go memory, pointers, value semantics, and interfaces.
A comprehensive guide to Go generics: type parameters, constraints, and type inference.
Go best practices, idioms, and design patterns at principal-engineer level.
The LGTM+P observability stack: Prometheus, Grafana, Loki, and Jaeger.
GitOps with Flux v2 and Kustomize: architecture, CRDs, patterns, and best practices.
Building, securing, and operating APIs with Kong Gateway: core concepts, plugins, and deployment.
Building, operating, and scaling systems with Envoy Proxy: architecture, xDS, and traffic management.
A deep, practical reference for building production systems with NATS and JetStream.
AMQP fundamentals, exchange types, reliability mechanisms, clustering, and messaging patterns.
Core concepts, producer/consumer internals, exactly-once semantics, Kafka Streams, and Connect.
A deep, practical reference covering Elasticsearch's most-used features, best practices, and patterns.
A comprehensive reference for Redis data structures, architecture, and production best practices.
A deep-dive reference for designing, building, and operating production systems on Amazon DynamoDB.
The complete MongoDB guide: features, best practices, and design patterns.
A deep, practical guide to PostgreSQL's most-used features, best practices, and patterns.
Protocols and architectural patterns every backend and networking engineer should master: HTTP, TCP, gRPC, TLS, DNS, and WebSocket.
Core concepts, patterns, and best practices for building reliable, scalable distributed systems.
Building Kubernetes operators with the Java Operator SDK: reconcilers, update controls, and the reconciliation loop.
A comprehensive guide to Java generics, type erasure, and wildcards.
A comprehensive guide to the Guava library in the Java 25 ecosystem.
A practical guide to modern Java concurrency combining reactive design with resilience engineering.
A guide to Temporal durable workflows with Java 25 and Spring.
A complete reference to Java Streams combined with modern features like records, pattern matching, and virtual threads.
25 essential microservices design patterns with Java, Resilience4j, Spring Cloud, and Kafka.
Best practices for Spring dependency injection, starting with constructor injection.
The terminal-centric development workflow and tools I use, organized by category.
A principal-level playbook for taking LLM and agent systems from notebook to production.
A senior/principal-level reference for building production-grade agentic systems in Python with LangGraph, PydanticAI, and LlamaIndex.
A principal-engineer-level guide to testing in Python: unit tests, integration tests, and Testcontainers.
A deep dive into Python database access and transaction management with SQLAlchemy and connection pooling.
A comprehensive guide to Python concurrency: asyncio, threading, multiprocessing, and the GIL.
A deep, author-level technical reference for designing, building, and operating large-scale distributed systems in Python.
A principal-engineer-level reference for writing idiomatic, maintainable, performant, and safe Python.
A reference-quality, deep-dive guide for professional Python developers — from core language internals to the modern AI agent stack.
A reusable checklist for quality, security, and documentation after every feature or update.
Building AlexAI, a complete local AI assistant with Ollama, MCP, RAG, and pydantic-ai.
Deploying and serving a sentiment analysis model on KServe in Kubernetes.
Common code comment tags — TODO, FIXME, HACK, XXX — and the tools that track them.