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Example: Technical Programming Ebook Generation

This example demonstrates how to generate a technical software engineering book complete with code examples, syntax highlighting, callout tips, and reference citations.

Generation Command

vasukisquare \
  --topic "Python 3.12 Deep Dive: Concurrency, Type Annotations, and AsyncIO Internals" \
  --title "Modern Python Concurrency" \
  --prompt "A rigorous deep dive for intermediate to senior Python developers. Emphasize task groups, exception groups, async iterators, memory efficiency, GIL improvements in 3.12, and practical pitfalls in high-throughput network services." \
  --pages 45 \
  --output-dir "./output/python-concurrency"

Linux / macOS Bash

vasukisquare \
  --topic "Python 3.12 Deep Dive: Concurrency, Type Annotations, and AsyncIO Internals" \
  --title "Modern Python Concurrency" \
  --pages 45 \
  --output-dir "./output/python-concurrency"

Windows PowerShell

vasukisquare `
  --topic "Python 3.12 Deep Dive: Concurrency, Type Annotations, and AsyncIO Internals" `
  --title "Modern Python Concurrency" `
  --pages 45 `
  --output-dir "./output/python-concurrency"

Pipeline Behavior for Technical Subjects

  1. Intent Inference: Automatically identifies the subject as technical (is_technical=true), detects python as the primary programming language, and schedules code blocks across chapter content pages.
  2. Research Grounding: Plans search queries targeting official Python documentation (docs.python.org), PEP specifications (peps.python.org), and authoritative articles.
  3. Structured Components: Emits terminal command blocks, syntax-highlighted code listings, architectural cards, and warning/tip callouts.
  4. Theme Assignment: Alternates visual themes (dark theme for odd chapters, light theme for even chapters) using the mathematical editorial_code or technical_blueprint palette.