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Background
Yesterday, I attended the Google Developer Year-end 2025 event hosted by Google and also visited the Google Banqiao office. I was very happy to share my observations on the evolution of Gemini technology throughout 2025 with everyone in my capacity as LINE Taiwan Developer Relations.
In the popular anime "Frieren: Beyond Journey's End," I really like the character "Übel" from the First-Class Mage Exam arc. She has a unique ability concept: "If you can imagine cutting it, you can definitely cut it."
This sentence perfectly echoes the current AI era - imagination and comprehension have become more important than ever before. How to "precisely imagine how to solve a problem" has become the key to enabling AI to assist you accurately. This article will summarize the key Gemini 2025 features shared that day, as well as my views on the core capabilities of "software engineers" in the AI wave.
2025 Gemini Feature Evolution Review
Looking back at 2025, the integration of Gemini and LINE Bot had groundbreaking updates at multiple points in time. Here's a review of the technical nodes from this year:
| Time Point | Feature Update | Description |
|---|---|---|
| 2025.04 | Google ADK | Initial integration of Agent and Messaging API, demonstrating basic Agent applications such as weather inquiries. |
| 2025.06 | Gemini CLI | Major upgrade to the developer experience, directly collaborating with AI in the terminal to perform file operations and code writing. |
| 2025.08 | Video Understanding | Support for YouTube video understanding. Gemini 2.5 directly grabs subtitles and video content for summarization and interaction. |
| 2025.11 | File Search | Enhanced file search capabilities, supporting RAG applications for various formats such as JSON, JS, PDF, and Python. |
| 2025.12 | Map Grounding | Combined with Google Maps Platform, allowing the Bot to answer geographical information questions such as "recent earthquake information" or "nearby restaurants." |
Detailed Explanation of Technical Highlights
1. Gemini CLI and Vibe Coding
The Gemini CLI, launched in June, changed the habits of many developers. It's not just printing "Hello World"; it integrates tools like Git and Gcloud. This brings forth a new development concept: Vibe Coding.
- Definition: This is not just writing code, but allowing the development process to enter a "flow" state through tools like Gemini CLI, Vertex AI Studio, and Antigravity.
- Key: The focus is on how developers orchestrate the connection of these tools, rather than manually writing every line of code.
2. Integration of Visual and Geographic Information (Video & Map)
Video Understanding in August allowed us to directly input YouTube links, and Gemini could generate summaries and even answer video details. At the end of the year, Map Grounding filled the biggest gap in LLMs: "real-time geographic information."
- Application Scenario: When users ask "find restaurants," the Bot uses Map Grounding to find nearby restaurants like "CHILLAX" or "博感情" and provides addresses and types.
- Data Source: Combines World Knowledge (Google Search) and Private Knowledge (Your Data/RAG) to make the answers more grounded.
Re-examining: The Three Pillars of Outstanding Talent
While technology tools are constantly evolving, I'm also thinking about what kind of abilities AI cannot replace. Just like "Übel's" imagination mentioned earlier, I believe that outstanding talent needs to possess three pillars:
1. AI Collaboration
This is not just knowing how to use tools, but also having the ability of Prompt Engineering.
- Difference: Those who know how to converse with AI and guide AI to produce results can increase their production speed by 10 times.
- Key: AI is your Copilot, but you are the captain.
2. Domain Depth
In an era where AI is rampant, Domain Knowledge is your strongest moat.
- Value: AI can write syntactically correct code, but "experience in solving complex problems" and "a deep understanding of business logic" are difficult for AI to imitate.
3. Empathy & Creativity
Transforming "passion" into human-specific critical thinking and empathy.
- Core: This is the core of building relationships and managing decisions. AI can process data, but it cannot understand the true motivations behind people's emotions and needs.
Conclusion
This Google Developer Year-end event reaffirmed for me that the understanding of systems and the recognition of problems are the most important abilities for software engineers.
Development in the AI era is no longer just simple coding, but like designing the AP2 protocol, it requires consideration of the overall architecture and security. If we only quickly Vibe Code and ignore the underlying principles (such as forgetting to consider the timeliness of Tokens or the correctness of data), it is easy to produce a flawed system.
Therefore, maintaining curiosity about technology while deepening your domain knowledge is the important reason why we can prove that AI cannot replace us.
Slides Download: Friends who are interested can refer to the slides from that day: https://speakerdeck.com/line_developers_tw/2025-features-recap-perfect-integration-linebot
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