Deep understanding of Linux, distributed systems, and Effect.ts to build production-grade agent infrastructure.
Objectives
- Linux internals – syscalls, file descriptors, process model, networking stack
- Effect.ts mastery – structured concurrency, fibers, layers, resource management
- Distributed systems intuition – consensus, replication, partitioning, observability
- Agent orchestration – Claude SDK, Temporal patterns, reliability engineering
Current Focus (Jan-Mar 2026)
| Priority | Topic | Project Anchor |
|---|---|---|
| 1 | Effect.ts runtime model | OctoSpark refactor |
| 2 | Linux fundamentals | Systems deep-dive |
| 3 | Go compiler book | Interpreter/compiler project |
Active Tracks
Linux
- File descriptors and syscalls
- Process model and signals
- Memory management
- Networking stack (TCP/IP, sockets)
- Container internals (namespaces, cgroups)
Effect.ts
- Runtime and fiber model
- Layer system and dependency injection
- Error handling and defects
- Retry, timeout, supervision
- Schema and validation
Distributed Systems
- CAP theorem and trade-offs
- Consensus (Raft, Paxos intuition)
- Replication strategies
- Partitioning and sharding
- Observability patterns
Go
- Writing an Interpreter in Go
- Writing a Compiler in Go
- Build a toy scheduler
Resources
| Resource | Type | Status |
|---|---|---|
| Writing an Interpreter in Go | Book | In Progress |
| Writing a Compiler in Go | Book | Queued |
| Effect.ts Docs | Docs | Active |
| OSTEP | Book | Reference |
Milestones
| Quarter | Deliverable |
|---|---|
| Q1 2026 | Effect.ts used in production (OctoSpark) |
| Q1 2026 | Complete interpreter book |
| Q2 2026 | Complete compiler book |
| Q2 2026 | Linux debugging proficiency |
Weekly Check-in Questions
- What concept did I learn that I can explain to someone else?
- What code did I write that uses this knowledge?
- What confused me that I need to revisit?
