| local fs = require 'nelua.utils.fs' | |
| local traits = require 'nelua.utils.traits' | |
| local stringer = require 'nelua.utils.stringer' | |
| local parser = require 'nelua.syntaxdefs'().parser | |
| local re = require 'nelua.thirdparty.relabel' | |
| local filename = 'lib/string.nelua' | |
| local filecode = fs.ereadfile(filename) | |
| local ast = parser:parse(filecode, filename) |
| /*** MIT LICENSE | |
| Copyright (c) 2022 torcado | |
| Permission is hereby granted, free of charge, to any person | |
| obtaining a copy of this software and associated documentation | |
| files (the "Software"), to deal in the Software without | |
| restriction, including without limitation the rights to use, | |
| copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the | |
| Software is furnished to do so, subject to the following |
author: @sleepyfox
title: The problem with AI coders
date: 22-Jun-2022
The problem with 'solutions' like GitHub's Copilot, and similar tech, is that it frames the problem as a problem of search. The programmer is searching for some code that does a thing (produce a HTML table with alternating coloured background rows of green and red), and that they just need to find that thing. Machine Learning has had success in this area, just look at Google's page-rank 'algorithm'.
