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Building a cross chain de fi arbitrage bot with rust

Cross-Chain Defi Arbitrage Bot Sparks Debate | Noobs vs. Pros

By

Grace Chen

May 8, 2025, 12:45 PM

Edited By

David Wong

3 minutes of reading

A marketing professional coding a cross-chain DeFi arbitrage bot in Rust, with visuals of coding on a computer screen and graphs showing financial data.

A self-taught individual claims to have built a cross-chain arbitrage bot using Rust, stirring diverse reactions from the community. With no prior blockchain experience, they seek guidance while potentially entering a highly competitive market.

The Background

With a background in marketing and basic web development skills, the developer embarked on a journey to backtest their ambitious bot. They share that all necessary files are compiling, and key unit and integration tests are passing. The bot’s design includes support for various EVM chains and Solana, featuring swap event decoding for multiple versions.

Despite these achievements, they express uncertainty about the bot's market viability, stating, "I have no idea whether the project has any real value."

Community Reactions

The response from the community is mixed:

  1. Skepticism about Profitability: Some commenters highlight that the arbitrage space is extremely competitive, suggesting that less experienced developers might struggle. One user warned, "Your vibe-coded project will not make any money on arbs."

  2. Encouragement for Learning: On the flip side, others encourage sharing the project broadly for feedback. Another member commented, "Keep at it and share far and wide it'll help you build it out better."

  3. Caution Against Misleading Guidance: A few stressed the importance of testing and understanding the risks involved, stating, "You need to know that you are competing with actual devs who will have the upper hand."

Key Insights from the Discussions

"Vibe can be misleading, this is not advice just telling you to be cautious where you get your guidance from."

  • Learning Journey: The developer acknowledges their learning curve and is open to community input. They seek advice on sharing the codebase:

    • Full vs. Selective Sharing?: They ponder whether to upload the complete code or just portions.

  • Testing Period Recommendation: Several voices suggest testing the bot live for a month or two before wider sharing.

  • β–³ The bot is not fully functional yet.

  • β–½ Community feedback suggests improving before public release.

  • β€» "Does it run? And does it work well in a live market?" - a recurring question.

Final Thoughts

As the developer grapples with the next steps, they aim to balance learning and seeking validation in a space dominated by experienced coders. The evolving journey of this novice coder raises questions about entry barriers in techβ€”and perhaps what it means to truly compete in crypto, even against seasoned developers.

The Road Ahead

There's a strong chance that the developer will refine their bot through community feedback, potentially enhancing its functionality and market viability. As they navigate this formative experience, they might adopt an iterative approach, with about a 70% probability of launching a testing phase within the next couple of months. This could lead to further gains in understanding how the bot performs live in competitive conditions, which is crucial in the volatile crypto space. Additionally, as they gain insights from seasoned developers and adapt their strategies, chances of success could improve, paving the way for them to carve out a niche within this demanding market.

Lessons from the Early Mariners

This situation surprisingly mirrors the early days of personal computer use when amateurs like Steve Wozniak and Steve Jobs tinkered in garages, developing technologies that transformed industries. Just as these pioneers faced skepticism and learned through trial and error, our aspiring developer is in a key learning phase. They navigate uncharted waters, with the potential for success resting on their commitment to honing their craft and absorbing knowledge from others. Much like those early tech enthusiasts, the outcome may hinge on their persistence and adaptability rather than any initial success.