Total Articles: 14 from 6 sources
AWS News
1. Amazon EC2 X8i instances powered by custom Intel Xeon 6 processors are generally available for memory-intensive workloads
Published: 2026-01-15 22:52
Summary:
AWS is announcing the general availability of Amazon EC2 X8i instances, next-generation memory optimized instances powered by custom Intel Xeon 6 processors available only on AWS X8i instances are SAP-certified and deliver the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud.
2. Opening the AWS European Sovereign Cloud
URL: https://aws.amazon.com/blogs/aws/opening-the-aws-european-sovereign-cloud/
Published: 2026-01-15 07:12
Summary:
Deutsch | English | Español | Français | Italiano As a European citizen, I understand first-hand the importance of digital sovereignty, especially for our public sector organisations and highly regulated industries Today, I’m delighted to share that the AWS European Sovereign Cloud is now generally available to all customers We first announced our plans to […]
3. AWS Weekly Roundup: AWS Lambda for .NET 10, AWS Client VPN quickstart, Best of AWS re:Invent, and more (January 12, 2026)
Published: 2026-01-12 17:39
Summary:
At the beginning of January, I tend to set my top resolutions for the year, a way to focus on what I want to achieve If AI and cloud computing are on your resolution list, consider creating an AWS Free Tier account to receive up to $200 in credits and have 6 months of risk-free […]
Dropbox Engineering
1. Inside the feature store powering real-time AI in Dropbox Dash
URL: https://dropbox.tech/machine-learning/feature-store-powering-realtime-ai-in-dropbox-dash
Published: 2025-12-18 18:00
Summary:
The feature store is a critical part of how we rank and retrieve the right context across your work.
GitHub Blog
1. Building an agentic memory system for GitHub Copilot
URL: https://github.blog/ai-and-ml/github-copilot/building-an-agentic-memory-system-for-github-copilot/
Published: 2026-01-15 21:31
Summary:
Copilot’s cross-agent memory system lets agents learn and improve across your development workflow, starting with coding agent, CLI, and code review The post Building an agentic memory system for GitHub Copilot appeared first on The GitHub Blog.
2. When protections outlive their purpose: A lesson on managing defense systems at scale
Published: 2026-01-15 20:54
Summary:
User feedback led us to clean up outdated mitigations See why observability and lifecycle management are critical for defense systems The post When protections outlive their purpose: A lesson on managing defense systems at scale appeared first on The GitHub Blog.
3. GitHub Availability Report: December 2025
URL: https://github.blog/news-insights/company-news/github-availability-report-december-2025/
Published: 2026-01-14 22:06
Summary:
In December, we experienced five incidents that resulted in degraded performance across GitHub services The post GitHub Availability Report: December 2025 appeared first on The GitHub Blog.
Google Developers
1. Building AI Agents with Google Gemini 3 and Open Source Frameworks
Published: 2026-01-16 09:25
Summary:
New agentic features include thinking_level for reasoning control, Stateful Tool Use via Thought Signatures, and media_resolution for multimodal fidelity It has Day 0 support for open-source frameworks like LangChain, AI SDK, LlamaIndex, Pydantic AI, and n8n Best practices include simplifying prompts and keeping temperature at 1.0.
2. Building with Gemini 3 in Jules
URL: https://developers.googleblog.com/jules-gemini-3/
Published: 2026-01-16 09:25
Summary:
Jules, an always-on, multi-step software development agent, now features Gemini 3, offering clearer reasoning and better reliability Upcoming features include directory attachment without GitHub and automatic PR creation Jules aims to reduce software writing overhead so developers can focus on building.
3. Building production AI on Google Cloud TPUs with JAX
URL: https://developers.googleblog.com/building-production-ai-on-google-cloud-tpus-with-jax/
Published: 2026-01-16 09:25
Summary:
The JAX AI Stack is a modular, industrial-grade, end-to-end machine learning platform built on the core JAX library, co-designed with Cloud TPUs It features key components like JAX, Flax, Optax, and Orbax for foundational model development, plus an extended ecosystem for the full ML lifecycle and production This integration provides a powerful, scalable foundation for AI development, delivering significant performance advantages.
Meta Engineering
1. Adapting the Facebook Reels RecSys AI Model Based on User Feedback
Published: 2026-01-14 20:51
Summary:
We’ve improved personalized video recommendations on Facebook Reels by moving beyond metrics such as likes and watch time and directly leveraging user feedback We’re doubling down on personalization, tackling challenges like sparse user data […] Read More The post Adapting the Facebook Reels RecSys AI Model Based on User Feedback appeared first on Engineering at Meta.
2. CSS at Scale With StyleX
URL: https://engineering.fb.com/2026/01/12/web/css-at-scale-with-stylex/
Published: 2026-01-12 18:34
Summary:
It’s no different at Meta, which is why we open-sourced StyleX, a solution for CSS at scale StyleX combines the ergonomics of CSS-in-JS with the performance of static CSS The post CSS at Scale With StyleX appeared first on Engineering at Meta.
3. Python Typing Survey 2025: Code Quality and Flexibility As Top Reasons for Typing Adoption
Published: 2025-12-22 14:00
Summary:
The 2025 Typed Python Survey, conducted by contributors from JetBrains, Meta, and the broader Python typing community, offers a comprehensive look at the current state of Python’s type system and developer tooling With 1,241 responses (a 15% increase from last year), the survey captures the evolving sentiment, challenges, and opportunities around Python typing in the […] Read More The post Python Typing Survey 2025: Code Quality and Flexibility As Top Reasons for Typing Adoption appeared first on Engineering at Meta.
Stripe Engineering
1. Stripe Atlas startups in 2025: Year in review
URL: https://stripe.com/blog/stripe-atlas-startups-in-2025-year-in-review
Published: 2025-12-18 00:00
Summary:
2025 was a breakout year for early-stage startups, as founders launched more companies and generated revenue faster than ever Three shifts stand out: customer bases are more international than ever, time-to-revenue has compressed, and founders are turning their attention to AI agents over AI infrastructure or copilots.
Generated on 2026-01-16 09:25:28