David Mashburn davidmashburn

The Slow Build: AI Software Engineering

This method focuses on using AI to build software that was previously impractical to develop solo, emphasizing quality and depth over speed. If you are still in the phase of trying to "make a thing in a few hours," this approach may seem unnecessary; it is intended for those looking for a professional, durable architecture.

1. Identify the Problem

Good software solves a specific problem. A common starting point is identifying an existing application you enjoy but finding specific elements you dislike or features you believe are missing.

	def _make_fancy(args, *kwds):
	return (fancyIndexingDict(args, *kwds)
	if len(kwds) or (len(args) and hasattr(args[0], 'keys')) else
	fancyIndexingList(args, *kwds))

	def _fancy_getitem(fancy_x, index):
	index = index if hasattr(index, '__iter__') else (index, )
	index = index if type(index) is tuple else tuple(index)

	if isinstance(fancy_x, fancyIndexingDict):

	# I miss the simplicity of launching a fresh shell when using Jupyter
	# This is my wonderfully weird way of fixing that (at least on Linux)

	# Config and desktop integration:
	jupyter notebook --generate-config

	echo "

	import os
	from subprocess import check_call

	def genericSlice(length,start=None,stop=None,step=None,includeStop=False,oneBased=False,checkBounds=False):
	'''A generic version of "slice" supporting:
	* dropping or keeping the stop value
	* 0-based and 1-based indexing
	* optional bounds checking
	* +/-/None indexes (as usual)

	Requires the length of the list that will be sliced.

	Returns a slice object.

	# Command to run in TTY (Ctrl-Alt-F5 or similar)
	# Found this little gem on https://bugs.launchpad.net/ubuntu/+source/mutter/+bug/1181666

	dbus-send --type=method_call --print-reply --dest=org.gnome.Shell /org/gnome/Shell org.gnome.Shell.Eval string:'global.reexec_self()'

David Mashburn davidmashburn

The Slow Build: AI Software Engineering

1. Identify the Problem

2. Design Before Building