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GOTOcon 2012: Taming JavaScript with Cloud9 IDE...

Sponsored · Ship Features Fearlessly Turn features on and off without deploys. Used by thousands of Ruby developers. →
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GOTOcon 2012: Taming JavaScript with Cloud9 IDE: a Tale of Tree Hugging

My talk on TreeHugger.js at GOTOcon.

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zef

May 30, 2012
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Transcript

  1. Taming JavaScript with Cloud9 IDE: a Tale of Tree Hugging

    Zef Hemel (@zef)
  2. None
  3. None
  4. None

  5. .js

  6. browser.js

  7. db.js

  8. server.js

  9. *.js

  10. None

  11. ~140,000

  12. Tooling matters

  13. None

  14. JavaScript Developer

  15. None
  16. None
  17. None

  18. HTML CSS JavaScript

  19. HTML5 CSS3 JavaScript Client

  20. HTML5 CSS3 JavaScript Client Node.js Redis Server

  21. HTML5 CSS3 JavaScript Client Node.js Redis Server XMLHttpRequest HTML5 WebSockets

  22. Mozilla Bespin

  23. Mozilla Bespin Canvas

  24. Browser Wars 2.0

  25. DOM

  26. Sidebar

  27. Sidebar

  28. Sidebar

  29. Sidebar

  30. Sidebar

  31. Sidebar

  32. Sidebar

  33. Sidebar

  34. JavaScript C/C++ Closure CoffeeScript Coldfusion C# CSS Groovy HTML Java

    JSON LaTeX Lua Markdown OCaml Perl PHP Ruby Scad Scala SCSS SQL SVG Textile XML
  35. None

  36. ~240,000

  37. Component Systems Message Queues Decoupling

  38. None
  39. None
  40. None
  41. None

  42. Tooling matters especially for JavaScript

  43. None

  44. Unleash the awesome power of...

  45. tatic

  46. program analysis

  47. None
  48. None

  49. Iterating using undeclared variable

  50. None

  51. Warning: you are in an anonymous inner function with its

    own “this” pointer
  52. None

  53. Did you mean “length”?

  54. “The most important thing I have done as a programmer

    in recent years is to aggressively pursue static code analysis.” John Carmack

  55. How?

  56. Parse Analyze

  57. Parser Code AST

  58. Abstract Syntax Tree a * 10 Parser Op Var Num

    “*” “a” “10”

  59. Zeon UglifyJS Narcissus Esprima language.js

  60. performance (speed/memory) AST datastructure traversal tools

  61. performance (speed/memory) AST datastructure traversal tools JavaScript specific

  62. treehugger.js

  63. “The JQuery of AST analysis.”

  64. treehugger.js

  65. treehugger.js Generic AST Data structure

  66. treehugger.js Generic AST Data structure Generic Traversals

  67. treehugger.js Generic AST Data structure Generic Traversals DSL with Pattern

    Matching

  68. treehugger.js Generic AST Data structure Generic Traversals DSL with Pattern

    Matching Language- Specific Parsers

  69. treehugger.js Generic AST Data structure Generic Traversals DSL with Pattern

    Matching Language- Specific Parsers JavaScript (UglifyJS-based)

  70. treehugger.js Generic AST Data structure Generic Traversals DSL with Pattern

    Matching Language- Specific Parsers JavaScript (UglifyJS-based)

  71. a * 10 Op Var Num “*” “a” “10”

  72. Op("*", Var("a"), Num("10")) Op Var Num “*” “a” “10”

  73. Op("*", Var("a"), Num("10")) ATerm Op Var Num “*” “a” “10”

  74. Constructors Lists Strings Var(_) [_, _] "hello" Placeholders x

  75. let’s play

  76. What can you do with it?

  77. Low-level tooling

  78. None

  79. Intelligent code completion

  80. Complex refactoring

  81. Cloud

  82. Big data

  83. What if...

  84. Project 1 Project 2 Project 3 Project 4 Project 5

    Project 6

  85. Your (dev) environment matters use static analysis tools

  86. http://c9.io @zef http://github.com/ajaxorg/treehugger