Awesome

Code Explorer

Kinda like JARVIS, but just for coding.

Setup

yarn to install dependencies.

The you can run 3 CLI tabs: (or just do yarn start - don't forget to do yarn stop when you're done)

Run database

mongod --dbpath=data

Run server

node server.js

Debug database

# https://www.tutorialspoint.com/mongodb/mongodb_query_document.htm
mongo
use takeaways
db.takeaways.insert({'some-key':'some-data'})
db.takeaways.insert({'some-key':'some-other-data'})
db.takeaways.find({'some-key':'some-data'})
db.takeaways.find()
db.takeaways.update({'some-key':'some-other-data'},{$set:{'some-key':'new data'}})
db.takeaways.find()
db.takeaways.remove({'some-key':'new data'})
db.takeaways.remove({'some-key':{$regex:/some-data/}})
db.takeaways.find()

See dependency graph

deps
# for example:
# Enter max depth:
# Enter src folder (or folder or file you'd like to inspect): public/index.js

Steps

For now, most critical are 1, 2, 5, 8, 11: (goal, nearest, ask, report/show)

1. get goal
2. get embeddings of props/actions
   • store these embeddings for faster access later if repeated
   • (use ANNOY to get stored index and recreate index with updated data)
3. BONUS: get embeddings so it can get ideas of combos to try:
   • get embeddings of docs sentences that are associated with API props/actions
   • get code examples from docs API to generate example inputs
   • get embeddings of any error logs (compare to props/actions/docs embeddings)
   • get embeddings of any google suggestion sentence (compare to props/actions/docs embeddings)
4. BONUS: check if any action combos get the goal result already (key: result, value: action combo)
5. choose closest embeddings to goal
   • check nearness of embeddings of single actions (try shallow API first)
6. BONUS: choose closest embeddings to error log:
   • check nearness of embeddings of single actions (try shallow API first)
   • check nearness of embeddings of combos suggested by docs/google/error logs
7. BONUS: get different ways to make combos:
   • sequence functions (doSomething(); doSomethingElseAfter();)
   • within/chained functions, conceptually includes "=" (doSomethingAfter(doSomethingFirst()))
8. ask/suggest before trying (for security)
9. BONUS: try combos/single actions:
   • with delay between things tried
   • in either codepen or new sandboxed browser instances (for safety and to isolate variables)
10. BONUS: get and store results and results frequencies for what tried:
    • how use this to check if achieved goal?
11. report/show findings from results of actions tried (variable value + UI, which may be in a CodePen if possible)

Stepping back

This process is different from semantic code search because it also proactively checks error logs, tries combinations, and checks results (at least tries to, in a sandbox).

Other notes

ResponsiveVoice

TensorFlow.js Universal Sentence Encoder lite

https://github.com/tensorflow/tfjs-models/tree/master/universal-sentence-encoder

https://github.com/hchiam/text-similarity-test

ANNOY Node bindings

For an efficient Approximate Nearest Neighbors search of nearest embeddings (instead of checking every single embedding stored in memory every time):

https://github.com/spotify/annoy

https://github.com/jimkang/annoy-node

# for python:
pip install --user annoy

You might be interested in

https://github.com/hchiam/sourcefetch-server

https://github.com/hchiam/code-assistant