Hands-On Test of DeepSeek's Coding Abilities: Generating a Minecraft-Style Game in Two Turns

Overview

Recently, a Japanese developer posted a real-world test video on social media regarding DeepSeek's code generation capabilities, sparking widespread attention. The test demonstrated DeepSeek's full process of building a Minecraft-style web game from scratch within a limited number of conversation turns.

This experiment not only validated the model's programming abilities but also highlighted its progress in multi-file generation and autonomous decision-making.

Test Background and Methodology

Previously, a demo based on the DeepSeek harness circulated within the community, successfully writing only a simple HTML breakout game. That version primarily served as a minimal feasibility verification for Tool Call and basic programming logic, with relatively limited functionality.

This test, however, employed the more complex Flash Next model version. The developer completed the initial build of the entire game through two rounds of interaction—namely, the "initial implementation" plus "one correction instruction."

This leap from simple to complex showcased the model's potential in handling intricate tasks. The tester specifically pointed out that this was not just a victory for code generation, but also an intuitive manifestation of the model's intelligence level.

Multi-dimensional Output and Autonomous Decision-Making

Distinct from simple single-file generation, DeepSeek demonstrated remarkable multi-task processing capabilities in this real-world test. The model output not only the core HTML file, but also simultaneously generated the accompanying CSS style file and a detailed Operations Manual Markdown document.

More importantly, the developer observed that the model possessed a certain degree of autonomous judgment ability.

During the development process, DeepSeek proactively decided to implement and execute a regression testing program to ensure code stability. This behavior mirrors the thinking pattern of a senior engineer, indicating that Flash Next has already surpassed that of a simple code completion tool in understanding development workflows and standardized coding practices.

This attempt gave us a glimpse of the "cleverness" inherent in Flash Next. It is not merely writing code, but understanding how to construct a maintainable software project.

Conclusion and Outlook

The test was posted by user @jun1228909 on the Nitter platform and quickly garnered positive reactions from the community. Many developers believe that being able to generate a complete game project—including frontend structure, styles, and documentation—through very few rounds of conversation marks an important milestone for AI programming assistants moving toward practicality.

Although the currently generated game remains in its infancy in terms of graphical presentation and interactive depth, its rapid prototyping capability has been confirmed. This also lays the foundation for exploring larger-scale and more complex application scenarios in the future.