No, AI isn't stealing your tech job - it's just transforming it
发布日期：2025-09-30
Few roles are at risk of total replacement by AI, but change is still happening fast, and hybrid skill sets are the new norm.
Code Snippets AI
Code Snippets AI is an AI-powered code library that helps developers code faster and collaborate effectively.
10k 热度
AI编程工具
AI-powered
Code snippets
Library
VSCode extension
Collaboration
Code generation
Code analysis
Error detection
Documentation
Refactoring
Debugging
Organizing
Secure
Private
End-to-end encryption
软件新闻
Microsoft just added AI agents to Word, Excel, and PowerPoint - how to use them
发布日期：2025-09-29
Available for Microsoft 365 Copilot users, the new agents will help you create, edit, and analyze your documents, spreadsheets, and presentations.
Huawei details open-source AI development roadmap at Huawei Connect 2025
发布日期：2025-09-29
Open-source AI development took centre stage at Huawei Connect 2025 last week, with Huawei laying out implementation timelines and the technical specifics around making its entire AI software stack publicly available by year-end. The announcements came with context that matters to developers: frank acknowledgement of past friction, specific commitments about what components will be released, […] The post Huawei details open-source AI development roadmap at Huawei Connect 2025 appeared first on AI News.
CAMIA privacy attack reveals what AI models memorise
发布日期：2025-09-26
Researchers have developed a new attack that reveals privacy vulnerabilities by determining whether your data was used to train AI models. The method, named CAMIA (Context-Aware Membership Inference Attack), was developed by researchers from Brave and the National University of Singapore and is far more effective than previous attempts at probing the ‘memory’ of AI […] The post CAMIA privacy attack reveals what AI models memorise appeared first on AI News.
Samsung benchmarks real productivity of enterprise AI models
发布日期：2025-09-25
Samsung is overcoming limitations of existing benchmarks to better assess the real-world productivity of AI models in enterprise settings. The new system, developed by Samsung Research and named TRUEBench, aims to address the growing disparity between theoretical AI performance and its actual utility in the workplace. As businesses worldwide accelerate their adoption of large language […] The post Samsung benchmarks real productivity of enterprise AI models appeared first on AI News.
Inside Huawei’s plan to make thousands of AI chips think like one computer
发布日期：2025-09-25
Imagine connecting thousands of powerful AI chips scattered in dozens of server cabinets and making them work together as if they were a single, massive computer. That is exactly what Huawei demonstrated at HUAWEI CONNECT 2025, where the company unveiled a breakthrough in AI infrastructure architecture that could reshape how the world builds and scales […] The post Inside Huawei’s plan to make thousands of AI chips think like one computer appeared first on AI News.
Generative AI in retail: Adoption comes at high security cost
发布日期：2025-09-24
The retail industry is among the leaders in generative AI adoption, but a new report highlights the security costs that accompany it. According to cybersecurity firm Netskope, the retail sector has all but universally adopted the technology, with 95% of organisations now using generative AI applications. That’s a huge jump from 73% just a year […] The post Generative AI in retail: Adoption comes at high security cost appeared first on AI News.
OpenAI and Nvidia plan $100B chip deal for AI future
发布日期：2025-09-24
OpenAI and Nvidia have signed a letter of intent for a $100B partnership that could reshape how AI systems are trained and deployed. The plan calls for at least 10 gigawatts of Nvidia hardware to support OpenAI’s next-generation AI infrastructure, which will train and run future models aimed at superintelligence. To support the rollout, Nvidia […] The post OpenAI and Nvidia plan $100B chip deal for AI future appeared first on AI News.
Governing the age of agentic AI: Balancing autonomy and accountability
发布日期：2025-09-24
Author: Rodrigo Coutinho, Co-Founder and AI Product Manager at OutSystems AI has moved beyond pilot projects and future promises. Today, it’s embedded in industries, with more than three-quarters of organisations (78%) now using AI in at least one business function. The next leap, however, is agentic AI: systems that don’t just provide insights or automate […] The post Governing the age of agentic AI: Balancing autonomy and accountability appeared first on AI News.
Google's latest AI safety report explores AI beyond human control
发布日期：2025-09-24
How AI models could manipulate, misuse, and even build systems humans can't understand.
使用指南
What is Code Snippets AI?
Code Snippets AI is an AI-powered code snippets library that harnesses the power of GPT-4 to help developers code faster and collaborate with their teams. It allows you to store, fetch, and securely save code snippets, and provides AI-generated responses to your coding questions and tasks.
How to use Code Snippets AI?
To use Code Snippets AI, follow these steps:
1. Sign in to your account on the website.
2. Install the VSCode extension for seamless integration.
3. Store your code snippets in the library with the option to organize them in folders.
4. Collaborate with your team by easily sharing snippets.
5. Use the AI models, such as GPT-4, ChatGPT, or Google PaLM2, to generate code, refactor, debug, and analyze your code.
6. Search and fetch snippets by language, name, or folder.
7. Benefit from AI-powered features like auto-saving, code analysis, error detection and suggestions, and more.
8. Enjoy the secure and private environment with end-to-end encryption.
9. Explore the documentation, blog, and FAQ sections for further guidance and information.
Code Snippets AI's Core Features
Store and fetch code snippets
Collaborate with your team
Generate code and snippets with AI
Refactor and debug code
Choose from different AI models
Code analysis and documentation generation
Search and organize snippets
Auto-saving
Secure and private environment
Code Snippets AI's Use Cases
#1
Code faster by getting AI responses to your coding questions
#2
Create a secure and organized code snippets library
#3
Collaborate effectively with your team by sharing snippets
#4
Refactor and optimize your code with AI suggestions
#5
Generate code and snippets to speed up boilerplate or repetitive tasks
#6
Find and fix errors in your code with AI assistance
#7
Simplify documentation generation with AI-powered analysis
#8
Save time on formatting and troubleshooting
#9
Access your snippets from anywhere with an internet connection
FAQ from Code Snippets AI
What makes Code Snippets AI different?
What languages do we support?
Do we use GPT-4?
How do Tokens work?
Do you offer a free trial?
What's next for Code Snippets AI?
Code Snippets AI Support Email & Customer service contact & Refund contact etc.
Here is the Code Snippets AI support email for customer service:
[email protected]
.
Code Snippets AI Company
Code Snippets AI Company name:
Code Snippets AI
.
More about Code Snippets AI, Please visit
the about us page(https://codesnippets.ai/docs/intro)
.
Code Snippets AI Login
Code Snippets AI Login Link:
https://codesnippets.ai/auth/sign-in
Code Snippets AI Sign up
Code Snippets AI Sign up Link:
https://codesnippets.ai/auth/sign-up?utm_source=price_1MhDRbJZMpG4RVw9pMljbuxy
Code Snippets AI Pricing
Code Snippets AI Pricing Link:
https://codesnippets.ai/pricing
