New Wave of Trading Bots | Are Single-Prompt Solutions a Myth?

A heated debate brews within developer forums over the assertion that one can build a fully functional trading bot with just one prompt. As of late November 2025, various voices within the crypto community are challenging the practicality of this claim, with many sharing their own experiences.

Context of Controversy

The buzz began when several people advanced the idea that a single prompt could create a comprehensive trading bot. This notion sparked skepticism, especially from developers who know the complexities involved.

One user stated, "Yeah… no. That’s not how reality works." They emphasized that building effective trading bots, particularly on platforms like Solana, requires not just AI prompts but extensive troubleshooting, including addressing broken logic and API issues.

"arguing with the models like it’s your co-founder," another commenter remarked, shedding light on the frustrations developers face with AI integration.

Key Discussion Points

Three main themes emerged from ongoing conversations:

• Complexity of Development: Most contributors agree that while AI can kickstart development, manual intervention is essential to fix issues and refine logic.

• Real-World Experience: Several developers shared success stories about their bots, indicating reliance on multiple decentralized exchanges (DEXs) and custom scripting languages. One said, "I built my bot using AI with support of two DEXes"

• Community Support: Many users highlighted the importance of community forums for troubleshooting and sharing knowledge.

Insights from the Community

Comments reflect a mostly positive sentiment regarding the potential of AI in coding, yet also a realistic approach towards its limitations:

• "The positive part, AI gives you a good starting point"

• • "Get your hands on the code. Don’t give up!"*

Interestingly, users remain enthusiastic about leveraging AI for trading bot development but emphasize the need for significant backend work.

Key Takeaways

• 🔍 Many developers doubt the reality of creating a complete bot from a single prompt.

• 💻 Effective solutions often require collaboration with AI and hands-on code adjustments.

• 📈 Users stress the value of community support in navigating technical challenges.

As this discussion evolves, developers may continue challenging the idea of simplified bot creation, advocating for a balance of AI power and human ingenuity. What will emerge as the best practice in the coming months remains to be seen.

What Lies Ahead for Trading Bots

In the coming months, it’s likely we'll see a shift in how developers approach trading bots. As skepticism increases, about 70% of contributors might lean towards hybrid models that blend AI assistance with manual coding efforts. This adjustment stems from the collective realization that while AI can streamline initial steps, thorough hands-on work remains crucial in ensuring reliability. Developers will probably invest more time in forming strong community networks, where about 60% may seek peer insights and troubleshooting support, enhancing their craft through shared experiences.

A Meta Lesson from The Print Revolution

This situation mirrors the historical transition during the print revolution, when people initially believed the printing press alone would replace skilled scribes. Yet, instead of eliminating jobs, it created a new landscape where scribes adapted their skills to formatting and governing printed text. Similarly, those in the trading bot arena will likely find that AI isn’t a magic bullet but rather a tool that, combined with their expertise, reshapes the trade scripting landscape, inviting collaboration and adaptation rather than replacement.