Fill in every stub section with full educational content covering
foundations, parsing with nom, semantic analysis, code generation,
and integration testing. Close all associated nbd tickets.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Root TODO.md:
- 82df74: Add justfiles for all projects (lint/check/build/release)
- 09cda0: Add contact footer to all service front-ends
nbd/TODO.md:
- 39b2cf: Add --xml output format to nbd
edu/TODO.md:
- 59c122: Deploy edu mdbook to Cloudflare Pages (vibebooks.elijah.run)
- 8618e4: Write chapter on co-op worker-owned business structure
- 8f14c6: Write Machine Learning chapter (self-play game AI)
- 389d8d: Write chapter on creating and training a simple LLM
- 0fbe1a: Write chapter on shader programming
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add working-directory rule to root and all project docs
- Generalize root from "HTTP web services" to "independent projects"
- Add @../CLAUDE.md inheritance to nbd, edu, quotesdb project docs
- Remove sections duplicated from root in project-level docs
- Wrap all sections in semantic XML tags for clearer agent parsing
- Rename Tech Stack → Common Patterns (framed as defaults, not requirements)
- Rename Running Services Locally → Running Projects Locally
18-section interactive course teaching compiler construction in Rust
using nom. Covers MiniLisp parsing, AST design, semantic analysis,
and C code generation. All sections stubbed; one nbd task ticket per
section plus a project ticket (67e284) tracking completion.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replaces the stub in Section 2 with full prose covering:
- State space definition (finite vs countably infinite)
- Transitions as directed, probability-labelled edges
- ASCII state-transition diagram for the weather model
- Absorbing, transient, and recurrent state classification
Full Exercise 3 — Bigram Text Generator section replacing the stub:
- Setup instructions (cargo new, cargo add rand)
- Starter code skeleton with BigramModel struct
- Step 1: tokenize corpus with split_whitespace + to_lowercase
- Step 2: build transition table via windows(2) with count tracking
- Step 3: integer weighted sampling helper (sample_weighted)
- Step 4: generate implementation with dead-end handling
- Step 5: run the generator with the Alice corpus and seeded RNG
- Step 6: guidance for trying a larger Project Gutenberg corpus
- Full reference solution in a collapsible details block
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace stub with full prose covering the stationary equation,
long-run frequency interpretation, irreducibility and aperiodicity,
a worked 2×2 analytical solution for the weather chain, and a power
iteration pseudocode + Rust sketch.
Replaces the stub with full lesson content:
- Defines the transition matrix P[i][j] and stochastic matrix constraints
- Derives multi-step probabilities via π_k = π₀ · P^k
- Works through the 2-state weather chain by hand (1- and 2-step calculations)
- Bridges to §9 stationary distributions
- Words as states paragraph
- Bigrams and transition tables explanation
- Worked bigram example with two-sentence corpus and transition table
- Why generated text sounds locally plausible but globally incoherent
- Order-n chains and the coherence/novelty tradeoff
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Elijah Voigt