Your Program as a Transpiler: Applying Compiler Design to Everyday Programming

on YouTube ↗40m

" summary

Argues that many app problems become compiler problems: parse configs and BPMN, resolve forward/cross references, build an adjacency-list runtime graph, then either interpret or generate code via annotation processors and Quarkus extensions to shift work to build time. Shows this cuts startup work (reflection-based scanning ~2s on his machine vs much lower for co-generated code), reuses Drools/jBPM/Kogito tooling, and recommends move preprocessing to build time and phase-based compilation workflow for clearer, faster systems.

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" chapters (39)

1. 0:00Introduction
2. 2:00Motivation
3. 5:19Goals
4. 5:47Whats a Transpiler
5. 7:26Myths about Transpilers
6. 9:56Writing a good compiler and writing a good Transpiler
7. 10:31What can you solve with compilerlike workflows
8. 11:27How to describe a compilerlike workflow
9. 13:04BPM
10. 15:04Goal
11. 15:20Recognize your compilation phase
12. 16:32Data transformation pipelines
13. 17:20BPMN
14. 20:14How does a compiler work
15. 21:36What makes a proper compiler
16. 22:06Configuration file example
17. 22:35Data processing and producer reports
18. 22:55Workflow engine
19. 23:50Phases vs passes
20. 24:21Reading a config file
21. 25:28One single pass
22. 25:54Evaluation
23. 26:31Display
24. 27:14Lets Visitors
25. 28:05Runtime Representation
26. 29:05Generate Code
27. 29:42Boot Time Optimization
28. 29:58Application Wiring
29. 31:34Reflections
30. 32:17Annotation Processor
31. 33:39Cogito
32. 34:26Quercus
33. 35:41Code Extension
34. 35:52Druce
35. 36:43Rule
36. 37:59The Submarine
37. 38:21Conclusion
38. 39:10Links
39. 39:42Questions

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