
LeetCode
HackerRank
Project Euler
Codewars
CodeForces
Exercism
interviewing.io
Coderbyte
LM Studio
Ollama
Jan.ai
GPT4All
AnythingLLM
ChatGPT
llama.cpp
Msty AI
LeetCode
LM StudioLeetCode is the best platform to help people practice solving coding problems and prepare for technical interviews. The main users are software engineers. LeetCode has over 1,900 questions covering many different programming concepts.
Based on our record, LeetCode should be more popular than LM Studio. It has been mentiond 543 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Category Tool URL How I used it General AI assistant ChatGPT Https://chatgpt.com Breaking down concepts, simulating interviewers, reviewing answers AI writing / reasoning Claude Https://claude.ai Refining behavioral stories and system design explanations Coding practice LeetCode Https://leetcode.com Core DSA practice and timed coding drills Coding explanations NeetCode Https://neetcode.io Pattern-based... - Source: dev.to / about 1 month ago
Plain BST. Fine when input is random or the problem doesn't require worst-case guarantees. Tree problems on LeetCode typically assume balanced input and don't ask you to maintain balance yourself. - Source: dev.to / about 2 months ago
Your preparation should not be random. Platforms like LeetCode, Codeforces, and GeeksforGeeks are toolsโbut what matters is how you use them. - Source: dev.to / 2 months ago
Bash /path/to/chrome-launcher.sh email001@gmail.com https://leetcode.com. - Source: dev.to / 3 months ago
AI-Powered Learning Tools: Consider using AI-driven platforms like Khan Academy or LeetCode that can personalize your learning experience based on your progress and skill level. - Source: dev.to / 9 months ago
A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / 16 days ago
LM Studio wraps the same inference engine in a desktop application with a visual model browser, one-click downloads from Hugging Face, and a built-in chat interface. - Source: dev.to / 23 days ago
LM Studio is the reference standard for running local models. It's not really an "AI client" in the workspace sense โ it's a local inference engine with a chat UI attached. Its MLX backend on Apple Silicon is noticeably faster than Ollama for many models, especially on larger ones, though both now use MLX on Mac so the gap has narrowed over time. The built-in model browser lets you discover, download, and run... - Source: dev.to / 27 days ago
Fully offline: Point it at Ollama or LM Studio. Zero cost, nothing leaves your network. - Source: dev.to / 30 days ago
On the other side, Ollama and LM Studio wrap llama.cpp in friendlier shells. Ollama is opinionated about model storage, format, and config. LM Studio is GUI-first and not terminal native. Both pay a real performance cost compared to raw llama-server, and both hide the underlying primitives that I actually like working with. - Source: dev.to / about 1 month ago
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Ollama - The easiest way to run large language models locally
Project Euler - Project Euler is a series of challenging mathematical/computer programming problems that will...
Jan.ai - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs like OpenAIโs GPT-4 or Groq.
Codewars - Achieve code mastery through challenge.
GPT4All - A powerful assistant chatbot that you can run on your laptop