Blog Archive

Page 9. Posts are ordered by date, with each page loading a bounded set of covers.

Cursor And Claude Code Should Not Be Compared Like This
Artificial Intelligence · Views

Cursor And Claude Code Should Not Be Compared Like This

Instead of turning tool discussion into a succession story, this article separates what Cursor and Claude Code are each good at: IDE context, browser interaction, Auto mode, terminal workflows, and underestimated Cursor capabilities.

Inside The QVeris IDE Plugin: OAuth, MCP Wiring, And Rules Injection
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Inside The QVeris IDE Plugin: OAuth, MCP Wiring, And Rules Injection

A development retrospective on the official QVeris Cursor/VS Code extension: browser OAuth callback, SecretStorage, MCP configuration, workspace rule injection, host differences, and the last mile of making tools actually usable.

How To Share A Local LLM App With Gradio
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How To Share A Local LLM App With Gradio

A short Gradio note: set share=True in launch() to create a temporary public link for a local machine-learning demo, and use Hugging Face Spaces for permanent hosting.

Running DeepSeek R1 Locally on Windows with Ollama
Artificial Intelligence · Views

Running DeepSeek R1 Locally on Windows with Ollama

A practical Windows 11 setup note for running DeepSeek R1 locally through Ollama, then connecting it to Chatbox, MaxKB, Open WebUI, and VS Code-based AI tools.

A First Look At The Cursor Editor
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A First Look At The Cursor Editor

An early hands-on note on Cursor as a VS Code-based AI editor, using a small C++ Gomoku program to test code understanding, alpha-beta AI logic, object-oriented refactoring, and project-level assistance.

VS Code 1.94: Notes From The September 2024 Release
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VS Code 1.94: Notes From The September 2024 Release

A short reading note on the VS Code September 2024 release, covering Find in Explorer, Source Control Graph, Python test coverage, ESM startup improvements, account preferences, and Copilot-related updates.

A Quick Overview of Google's Gemma Models
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A Quick Overview of Google's Gemma Models

A short introduction to Google's lightweight Gemma LLM family, including Kaggle resources, common model formats, 2B and 7B variants, and basic hardware expectations.

Running Gemma Locally Does Not Have To Start With Docker
Artificial Intelligence · Views

Running Gemma Locally Does Not Have To Start With Docker

A simple local Gemma setup note: download the PyTorch 2B checkpoint from Kaggle, clone gemma_pytorch, set PYTHONPATH, install dependencies, and run the official script directly.