Code generation tips you didn't ask for
summary
Practical advice and lessons about code generation for high-load systems, drawn from the presenter’s long-term experience from student projects to current work. Covers techniques that worked well, pitfalls to avoid, and specific recommendations for when and how to apply code generation in large-scale systems.
AI-written summary · about
chapters (16)
- 0:00Introduction
- 2:13Why code generation is good
- 4:44Custom data format problems
- 7:35Input as code
- 12:17Code generation approaches
- 14:28Buffer generation
- 16:14Syntax tree generation
- 18:46Code formatting optimization
- 22:57Import profiling and optimization
- 29:02Real project optimization examples
- 32:36Error handling and disk writes
- 35:48Change comparison and stability
- 38:01Comments and generated code signs
- 39:30Git generation and checks
- 40:54Dockerfile and automation
- 41:36Q&A
related talks
51mCode generation tips you didn't ask for
38mCode Generation and How to Use It Effectively
37mThings I learned after a decade of writing code generators
51mGenerate You Some Code for Great Good
42mBecoming the Metaprogrammer Real World Code Generation
30mWrite Less (Code), Generate More
48mCode Generation in 2024: How AI Will Take Your Job…to the Next Level!
33mSource Generators in Action