Python Qt6 : script for impact on your development workflow using scans features.

Impact on development workflows that rely on Language Server Protocol (LSP) features.

1. Editor Limitations

Your editor (VS Code, Neovim, Qt Creator, etc.) attempts to send a file to the Language Server, but the file is not accessible through the file:// protocol.

When this happens, the LSP rejects the request, and you lose essential features such as:

• IntelliSense
• Autocomplete
• Hover information
• Diagnostics
• Jump‑to‑definition
• Refactoring tools

2. Issues in Non‑Standard Projects

This limitation becomes more severe when working with:

• dynamically generated files
• files inside containers
• remote workspaces
• build systems that create temporary or virtual files

Since the LSP cannot process these resources, you lose intelligent code support.

3. Toolchain Breakdowns

If you rely on an automated workflow (analysis, diagnostics, UI integration, etc.), an LSP restricted to file:// can break:

• static analysis
• code validation
• report generation
• plugin integrations

Real Risks in Development

1. False or Incomplete Diagnostics

The LSP may not see the actual files, leading to:

• false errors
• missed real errors

2. Dangerous Refactoring

If the LSP cannot access all files, automated refactoring may:

• fail to update all references
• introduce new bugs

3. Reduced Productivity

Without full LSP support, you lose:

• intelligent completion
• fast navigation
• real‑time validation

4. Incompatibility With Modern Tooling

Many modern IDEs rely on virtual or remote workspaces. An LSP limited to file:// becomes outdated quickly.

5. Indirect Security Risks

Not a vulnerability by itself, but:

• if the LSP cannot analyze remote files, you may miss security issues in generated or synchronized code.

I tested with a simple python source code to detect how bad is running on I.D.E. The script continuously scans your Windows system to detect, analyze, and report the real‑time behavior, resource usage, crashes, leaks, ports, and child processes of all VS Code, LSP, and Antigravity components, showing their impact on your development workflow through a live PyQt6 dashboard.

The result after runnig is:

The collections python module .

This module named collections implements some nice data structures which will help you to solve various real-life problems.
Let's start to see the content of this python module:

C:\Users\catafest>python

C:\Users\catafest>cd C:\Python27\

C:\Python27>python
Python 2.7 (r27:82525, Jul  4 2010, 07:43:08) [MSC v.1500 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import collections
>>> from collections import *
>>> dir(collections)
['Callable', 'Container', 'Counter', 'Hashable', 'ItemsView', 'Iterable', 'Iterator', 'KeysView',
 'Mapping', 'MappingView', 'MutableMapping', 'MutableSequence', 'MutableSet', 'OrderedDict', 'Sequence',
 'Set', 'Sized', 'ValuesView', '__all__', '__builtins__', '__doc__', '__file__', '__name__', '__package__'
, '_abcoll', '_chain', '_eq', '_heapq', '_ifilter', '_imap', '_iskeyword', '_itemgetter', '_repeat', 
'_starmap', '_sys', 'defaultdict', 'deque', 'namedtuple']

Now I will tell you about some
First is Counter and is a direct subclass which helps to count hashable objects.
The elements are stored as dictionary keys and counts are stored as values which can be zero or negative.
Next is defaultdict and is a dictionary object which provides all methods provided by the dictionary.
This takes the first argument (default_factory) as default data type for the dictionary.
The namedtuple helps to have the meaning of each position in a tuple.
This allows us to code with better readability and self-documenting code.
Let's try some examples:

>>> from collections import Counter
>>> from collections import defaultdict
>>> from collections import namedtuple
>>> import re
>>> path = 'C:/yara_reg_rundll32.txt'
>>> output = re.findall('\w+', open(path).read().lower())
>>> Counter(output).most_common(5)
[('a', 2), ('nocase', 2), ('javascript', 2), ('b', 2), ('rundll32', 2)]
>>> 
>>> d = defaultdict(list)
>>> colors = [('yellow', 1), ('blue', 2), ('yellow', 3), ('blue', 4), ('red', 1)]
>>> for k, v in colors:
...     d[k].append(v)
...
>>> d.items()
[('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])]
>>> 
>>> Vertex = namedtuple('vertex', ['x', 'y'])
>>> v = Vertex(5,y = 9)
>>> v
vertex(x=5, y=9)
>>> v.x*v.y
45
>>> v[0]
5
>>> v[0]+v[1]
14
>>> x,y = v
>>> v
vertex(x=5, y=9)
>>> x
5
>>> y
9
>>>

The content of the yara_reg_rundll32.txt file is:
rule poweliks_rundll32_exe_javascript
{
meta:
description = "detect Poweliks' autorun rundll32.exe javascript:..."
string:
$a = "rundll32.exe" nocase
$b = "javascript" nocase
condition:
$a and $b
}
I used vertex variables into my example because can be used with Blender 3D.
You can see many examples at official documentation website.