Forget cursor, codex, and cloud code.

@ai.with.andrew

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Promoted product

Jcode

The most RAM efficient harness. Contribute to 1jehuang/jcode development by creating an account on GitHub.

3 videos3 creators

Why it worked

The video leverages a strong, contrarian hook that challenges established industry standards, followed by specific, quantifiable performance claims that appeal directly to the target audience's desire for efficiency.

Summary

The creator introduces Jcode, an open-source, Rust-based coding agent that claims to be significantly faster and more memory-efficient than existing tools. He explains its unique features, such as parallel session support and autonomous agent collaboration, before offering the repository link to viewers.

Structure

1Hook identifying the product as a superior alternative
2Comparison of performance metrics against competitors
3Explanation of the technical architecture (Rust-based harness)
4

Original caption

DM us code if you want the Jcode repo link! Jcode just revolutionized AI coding agents with a Rust-based harness that’s 20x more memory efficient and 63x faster than top competitors like Cloud Code and Codex CLI. This open-source, free tool supports parallel sessions and team-like agent collaboration, making it a viral smart gadget for developers chasing speed and efficiency. #jcode #aiagent #rustprogramming #opensourcecode #codinginnovation

More from @ai.with.andrew

Product placement

Jcode is the primary subject of the video, demonstrated through screen recordings of its terminal interface and performance metrics.

Call to action

comment code

On-screen text

JCODE BEATS CODEX 20x more memory efficient than claude code 63x faster than codex CLI Jcode COMMENT "Code"

Transcript

Forget cursor, codex, and cloud code. A solo developer just dropped a coding agent that's 20 times more memory efficient than Claude code and 63 times faster than Codex CLI. And it's open source and free. It's called Jcode. Here's why this matters. Tools like Claude code and Codex CLI have a layer between you and the AI model that handles your prompts, tools, memory, and sessions. It's called a harness, and Jcode rebuilt that entire layer from scratch in Rust. That's where the numbers come from. But here's where it gets really interesting. Jcode has a built-in memory system with zero setup. It natively supports parallel sessions, and the craziest part, agents can spawn their own teammates. One becomes the coordinator, the others become workers, and they all collaborate on the same codebase. If you want the repo link, comment code and I'll send it to you.