Schema Driven Generation

The chapters in this module, in reading order.

#	Chapter
00	Structured Data & Code Generation — The Five-Year-Old Version
01	Natural-language database failure — why direct asking sounds smart and acts dumb
02	Text-to-SQL pipeline — from question to query to grounded answer
03	Schema representation — how the phrasebook shapes the SQL
04	SQL validation and execution — trust the receipt, not the first draft
05	Tabular reasoning — when the receipt itself becomes a small puzzle
06	Code completion models — filling the missing code without wasting tokens
07	Code generation pipeline — prompt, generate, validate, test, repeat
08	Program synthesis — from vague spec to executable program
09	Code review AI — reading diffs like a suspicious senior engineer
10	Execution feedback loops — let the runtime argue back
11	Multi-file code understanding — when the phrasebook is a whole repository
12	Evaluation benchmarks — measuring translators by receipts, not vibes
13	Honest admission — what we still do not fully solve in structured data and code generation