In the video, the creator shares their positive experience with Google’s Gemini 2.5 Pro, highlighting its impressive coding capabilities, particularly in generating backend code and refactoring Rust, while noting some struggles with front-end tasks. They emphasize the significant advancements in AI coding tools and express enthusiasm for Gemini 2.5 Pro as a potential primary coding assistant, inviting viewers to share their own experiences.
In the video, the creator discusses their experience with Google’s newly released Gemini 2.5 Pro, which they claim is the best coding AI they have used so far. They highlight its impressive capabilities, such as successfully creating a game similar to “Kitten Cannon” with just a few prompts. Although the AI struggled with front-end tasks, it excelled in refactoring Rust code, outperforming other models they have tried. The creator emphasizes the significant advancements in AI coding tools compared to just a few years ago, showcasing how far technology has come.
The creator begins by attempting to create a launch-style game using p5.js, providing specific instructions for the AI. While the initial output contained errors, the creator demonstrates how they iteratively refined the code by replacing problematic sections. Despite not achieving a perfect one-shot solution, the AI’s ability to generate a substantial amount of code and improve upon it through prompts is highlighted as a remarkable achievement in coding assistance.
Next, the video transitions to a comparison of Gemini 2.5 Pro’s performance against other AI models in various coding benchmarks. The creator notes that Gemini 2.5 Pro significantly outperformed its competitors in reasoning and knowledge assessments, showcasing a notable increase in performance metrics. They also mention the AI’s training data being up-to-date, which allows it to provide current information about programming languages and frameworks, further enhancing its utility for developers.
The creator then shares their experience building an ultimate tic-tac-toe game in Java using Swing, where Gemini 2.5 Pro successfully generated the necessary code in one go. This success contrasts with their earlier attempts at creating a landing page, which did not meet expectations. The creator reflects on the AI’s strengths and weaknesses, noting that while it excels in generating backend code, it struggles with front-end design tasks.
In conclusion, the creator expresses their enthusiasm for Gemini 2.5 Pro, stating that it has the potential to become their primary coding assistant. They acknowledge the need for further testing within their typical development workflow to fully assess its capabilities. Overall, the video showcases the impressive advancements in AI coding tools, emphasizing the transformative impact they can have on software development and the coding process. The creator invites viewers to share their thoughts and experiences with Gemini 2.5 Pro, indicating a growing interest in AI-assisted coding solutions.