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 An LSP limited to file:// becomes outdated quickly.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:

Python Qt6 : QCalendarWidget simple example with csv file.

Here is a simple example of source code with PyQt6 and QCalendarWidget to create a calendar. You click on the date and enter a note. This is saved in a file with the date time ... and the note. When you reopen the script, it opens in notepad and the saved notes. Obviously it is a simple example but you can improve it with databases, make a note management, encrypt it, link it to an external database, etc.

import sys
import csv
import os
import subprocess
from datetime import datetime
from PyQt6.QtWidgets import (
    QApplication, QWidget, QVBoxLayout, QCalendarWidget,
    QInputDialog, QMessageBox
)
from PyQt6.QtCore import QDate


CSV_FILE = "note.csv"


class CalendarApp(QWidget):
    def __init__(self):
        super().__init__()
        self.setWindowTitle("Calendar cu notițe")
        self.resize(400, 300)

        self.layout = QVBoxLayout()
        self.setLayout(self.layout)

        self.calendar = QCalendarWidget()
        self.calendar.clicked.connect(self.adauga_nota)
        self.layout.addWidget(self.calendar)

        # Dicționar pentru notițe
        self.note = {}

        # La pornire, citește CSV și deschide în Notepad
        self.incarca_note()

    def adauga_nota(self, date: QDate):
        zi = date.toString("yyyy-MM-dd")

        text, ok = QInputDialog.getText(self, "Adaugă notiță",
                                        f"Introdu text pentru {zi}:")
        if ok and text.strip():
            timestamp = datetime.now().strftime("%Y-%m-%d %H:%M")
            self.note[timestamp] = text.strip()
            QMessageBox.information(self, "Salvat",
                                    "Notița a fost adăugată.")

    def incarca_note(self):
        if os.path.exists(CSV_FILE):
            try:
                with open(CSV_FILE, "r", newline="", encoding="utf-8") as f:
                    reader = csv.reader(f)
                    for row in reader:
                        if len(row) == 2:
                            self.note[row[0]] = row[1]

                # Deschide în Notepad
                subprocess.Popen(["notepad.exe", CSV_FILE])

            except Exception as e:
                QMessageBox.warning(self, "Eroare",
                                    f"Nu pot citi fișierul CSV:\n{e}")

    def closeEvent(self, event):
        try:
            with open(CSV_FILE, "w", newline="", encoding="utf-8") as f:
                writer = csv.writer(f)
                for timestamp, text in self.note.items():
                    writer.writerow([timestamp, text])
        except Exception as e:
            QMessageBox.warning(self, "Eroare",
                                f"Nu pot salva fișierul CSV:\n{e}")

        event.accept()


if __name__ == "__main__":
    app = QApplication(sys.argv)
    window = CalendarApp()
    window.show()
    sys.exit(app.exec())

... this is the result:

Python 3.12.12 : simple example with CompVis/stable-diffusion-v1-4 model on colab.

Because this year we need to start it as advanced and more prepared as we know and can do ...

Today I tested a simple source code with an interactive interface for text-to-image generation based on the CompVis/stable-diffusion-v1-4 model.

This is not an advanced model and you will have some dizzy images, but the learnning idea is the base of these colabs notebooks.

See the default example on my colab github project.

The colab notebook use this python version:

Python 3.12.12 (main, Oct 10 2025, 08:52:57) [GCC 11.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.

I'm mode advanced with some models like SDXL, image generation is not a priority at the moment ...

... and first image result is this: