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Machine Learning Guide

MLA 022 Code AI Tools

Machine Learning Guide

OCDevel

Artificial, Introduction, Learning, Courses, Technology, Ml, Intelligence, Ai, Machine, Education

4.9 • 848 Ratings

🗓️ 9 February 2025

⏱️ 47 minutes

🧾️ Download transcript

Summary

Try a walking desk while studying ML or working on your projects! https://ocdevel.com/walk

Show notes: https://ocdevel.com/mlg/mla-22

Tools discussed:

  1. Windsurf: https://codeium.com/windsurf
  2. Copilot: https://github.com/features/copilot
  3. Cursor: https://www.cursor.com/
  4. Cline: https://github.com/cline/cline
  5. Roo Code: https://github.com/RooVetGit/Roo-Code
  6. Aider: https://aider.chat/

Other:

  1. Leaderboards: https://aider.chat/docs/leaderboards/
  2. Video of speed-demon: https://www.youtube.com/watch?v=QlUt06XLbJE&feature=youtu.be
  3. Reddit: https://www.reddit.com/r/chatgptcoding/

Boost programming productivity by acting as a pair programming partner. Groups these tools into three categories:

• Hands-Off Tools: These include solutions that work on fixed monthly fees and require minimal user intervention. GitHub Copilot started with simple tab completions and now offers an agent mode similar to Cursor, which stands out for its advanced codebase indexing and intelligent file searching. Windsurf is noted for its simplicity—accepting prompts and performing automated edits—but some users report performance throttling after prolonged use.

• Hands-On Tools: Aider is presented as a command-line utility that demands configuration and user involvement. It allows developers to specify files and settings, and it efficiently manages token usage by sending prompts in diff format. Aider also implements an “architect versus edit” approach: a reasoning model (such as DeepSeek R1) first outlines a sequence of changes, then an editor model (like Claude 3.5 Sonnet) produces precise code edits. This dual-model strategy enhances accuracy and reduces token costs, especially for complex tasks.

• Intermediate Power Tools: Open-source tools such as Cline and its more advanced fork, RooCode, require users to supply their own API keys and pay per token. These tools offer robust, agentic features, including codebase indexing, file editing, and even browser automation. RooCode stands out with its ability to autonomously expand functionality through integrations (for example, managing cloud resources or querying issue trackers), making it particularly attractive for tinkerers and power users.

A decision framework is suggested: for those new to AI coding assistants or with limited budgets, starting with Cursor (or cautiously exploring Copilot’s new features) is recommended. For developers who want to customize their workflow and dive deep into the tooling, RooCode or Cline offer greater control—always paired with Aider for precise and token-efficient code edits.

Also reviews model performance using a coding benchmark leaderboard that updates frequently. The current top-performing combination uses DeepSeek R1 as the architect and Claude 3.5 Sonnet as the editor, with alternatives such as OpenAI’s O1 and O3 Mini available. Tools like Open Router are mentioned as a way to consolidate API key management and reduce token costs.

Transcript

Click on a timestamp to play from that location

0:00.0

Welcome back to Machine Learning Guide. I'm your host, Tyler Rinelli. MLG teaches the fundamentals of machine learning and artificial intelligence.

0:09.0

It covers intuition, models, math, languages, frameworks, and more.

0:13.0

Where your other machine learning resources provide the trees, I provide the forest.

0:18.0

Visual is the best primary learning modality, but audio is a great supplement during exercise commute and chores.

0:25.7

Consider MLG your syllabus with highly curated resources for each episode's details at OCdevel.com forward slash MLG.

0:35.6

Speaking of curation, I'm a curator of life hacks, my favorite hack being treadmill desks.

0:40.9

While you study machine learning or work on your machine learning projects, walk.

0:44.8

This helps improve focus by increasing blood flow and endorphins.

0:48.0

This maintains consistency and energy, alertness, focus, and mood.

0:52.6

Get your CDC recommended 10,000 steps while studying or working.

0:56.6

I get about 20,000 steps per day, walking just two miles per hour, which is sustainable

1:00.7

without instability at the mouse or keyboard.

1:03.5

Save time and money on your fitness goals.

1:05.6

See a link to my favorite walking desk setup in the show notes.

1:08.4

In this episode of Machine Learning learning applied, I'm going to

1:11.2

talk about the various AI coding tools out there, tools which use AI to help you program.

1:17.9

And this is a bit of a risky episode for two reasons. One, the landscape is changing so

1:24.6

freaking fast. I mean, singularity level fast, that a week or two after this episode

1:29.8

has launched, it will be totally irrelevant. I may try to keep up with it and edit and republish

1:35.9

the episode as major changes come about, but I still think it's worthwhile publishing because

1:41.6

in the last year of the landscape of AI coding tools being released,

1:47.2

I haven't found a good comparison breakdown of the tools to help me choose. And so it was a trial

...

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