Binary Serialization Survey
A working engineer's guide to the binary serialization landscape. Covers Protobuf, Thrift, Avro, CBOR, MessagePack, FlatBuffers, Cap'n Proto, SBE, Arrow, Parquet, ASN.1, Borsh, and more. Organized by the tradeoffs each format makes, not popularity. Every chapter ends with a hex wire tour of the same record.
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Mesh Networking for Mortals
A 2026 survey of mesh networking that doesn't expect you to have read every academic paper. Tradeoffs between Reticulum, Meshtastic, MeshCore, Yggdrasil, cjdns, Scuttlebutt, Briar, and the mesh VPNs — what each is good for, what it gets wrong, and which are worth your weekend right now.
⭐ 2
PostgreSQL DB in 2025
Claude Code Opus 4.1 wrote this guide for Postgres.
⭐ 3
MySQL and You
A book by Claude Code Opus 4.1
⭐ 2
The Software Development Life Cycle
The SDLC By Claude Code Sonnet 4.5
⭐ 2
Database Internals
Ever wondered what happens when you hit COMMIT? Journey into the storage engines, B-trees, WAL logs, and MVCC magic powering modern databases. From disk I/O to query optimization, learn how databases turn SQL into bits. Written by Opus 4.5 for developers who want to understand why their queries are slow.
⭐ 2
Networking Protocols
Comprehensive guide to networking protocols covering TCP/IP stack, HTTP evolution (1.0 through HTTP/3), WebSockets, QUIC, UDP vs TCP, DNS resolution, TLS/SSL handshakes, and modern protocol design. Includes packet flow diagrams, performance characteristics, and real-world use cases.
⭐ 2
The Big Book of Compression Algorithms
Everything compresses differently. A survey of the major algorithms — Huffman to Zstandard, lossless to lossy, zip files to video codecs — covering mechanics, tradeoffs, and ideal contexts. Closes with a bonus section on why LLMs are, at their core, just really expensive lossy compressors.
⭐ 2
Distributed Systems for the Rest of Us
CAP theorem, eventual consistency, replication, and fault tolerance — explained for engineers who aren't at Google scale but need to think like they are. No hand-waving, no oversimplification. Just the mental models that make distributed systems decisions less terrifying.
⭐ 2
High Performance Computing in 2026
HPC for the modern era — GPU computing, CUDA vs ROCm vs Metal, MPI, OpenMP, vectorization, and the intersection with ML workloads. Practical for engineers, not just academics.
⭐ 2
Postgres is Enough
A love letter to PostgreSQL — exploring how far you can push it as a relational DB, document store, job queue, key-value store, vector database, and beyond. With the right extensions, postgres is enough.
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Event Driven Architecture
A deep dive into event-driven architecture patterns, followed by a thorough comparison of event brokers — from mainstream heavyweights like Kafka, RabbitMQ, and Pulsar to more obscure options like ZeroMQ, NATS, and Memphis. Covers trade-offs in throughput, latency, durability, and operational complexity.
⭐ 2
The Agony of Consensus Algorithms
Paxos, Raft, PBFT, Viewstamped Replication, and more — compared and contrasted with brutal honesty. Covers failure models, FLP impossibility, classic and modern consensus protocols, Byzantine fault tolerance, and when to use what. Stop copying what Kafka does and actually understand the tradeoffs.
⭐ 2
Byzantine Fault Tolerance Beyond Blockchain
Blockchain isn't the only way to reach consensus. A tour of the BFT algorithms that power databases, distributed systems, and permissioned networks — Paxos, Raft, PBFT, HotStuff, Viewstamped Replication. Real tradeoffs, real math, no hype.
⭐ 2