GitHub Copilot CLI can now detect Ollama models running in local environments using the /model command.
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Page 5 of 58Sakura Internet has started offering the "Sakura AI Engine Private Edition," which is available in specific environments.
GitHub Copilot's local sandbox feature is now generally available, highlighting enhanced security in development environments.
General availability of Claude Haiku 5.5, Anthropic's lightweight model, has begun in GitHub Copilot.
Ryo Shimizu argues that in the era of AI code generation, engineers need creativity based on humanity, psychology, and general knowledge rather than implementation skills.
- •Shimizu points out that as AI writes more code, the remaining value for engineers lies in being human.
- •He states that the role has shifted from writing programs to valuing psychology, general knowledge, and everyday kindness.
- •In the second part of an interview with AI media outlet AIdiver, he examined role changes and development formats for engineers and business professionals.
Against the backdrop of AI reducing development costs, a dialogue explores the essential changes in engineering challenges and the importance of self-management for improving results.
- •AI evolution has drastically lowered coding costs, shifting engineer focus from creation to more advanced, essential questions.
- •Tackling unsolved problems requires technical skill, mental resilience in difficult situations, and healthy team relationships.
- •Yuto Kurakane of Sonic Garden and Ikusei Odaka of KDDI Agile Development Center discussed engineer self-management in the AI era.
The article introduces PromanAIde, a tool that uses AI to replicate project manager heuristics, automatically presenting risk signs and improvement measures from documents.
The new business creation AI "Remonation" has enhanced its features to support everything from proposal drafting to mock interviews with AI personas.
Nikkei Research has developed a platform that leverages its own survey data to generate and interact with AI personas for customers.
A new book has been released, explaining the implementation status and challenges of physical AI through real-world examples from over 50 companies across 12 industries.