Total Articles: 16 from 6 sources
AWS News
1. Announcing Amazon EC2 G7 instances accelerated by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs
Published: 2026-06-18 21:22
Summary:
Announcing the general availability of Amazon Elastic Compute Cloud (Amazon EC2) G7 instances, delivering high performance GPU acceleration for AI inference, graphics, and data analytics workloads.
2. Amazon ECS introduces new high-resolution metrics for faster service auto scaling
Published: 2026-06-18 21:06
Summary:
Amazon Elastic Container Service (Amazon ECS) service auto scaling automatically adjusts task counts to meet workload demand with comprehensive scaling policies, including predictive scaling for recurring traffic patterns, scheduled scaling for planned events, and target tracking to scale dynamically on real-time metrics You can choose proactive scaling by using predictive scaling (automatic) and scheduled scaling […]
3. Top announcements of the AWS Summit in New York, 2026
URL: https://aws.amazon.com/blogs/aws/top-announcements-of-the-aws-summit-in-new-york-2026/
Published: 2026-06-17 16:36
Summary:
A recap of the top announcements from AWS’s New York Summit 2026
Dropbox Engineering
1. How Dropbox uses MCP and Dash to close the design-to-code security gap
URL: https://dropbox.tech/security/dropbox-mcp-dash-design-code-security
Published: 2026-06-12 18:00
Summary:
Using an agentic AI system to surface threat models during code review and spot gaps between security requirements and implementation.
2. Beyond code generation: rethinking engineering productivity in the age of AI agents
Published: 2026-05-28 18:00
Summary:
How Dropbox is moving from AI tools that assist engineers to agentic systems that can execute scoped tasks, and how we’re building platforms to support those workflows.
GitHub Blog
1. How we built an internal data analytics agent
URL: https://github.blog/ai-and-ml/github-copilot/how-we-built-an-internal-data-analytics-agent/
Published: 2026-06-19 16:00
Summary:
Qubot, our internal Copilot-powered analytics agent, allows any GitHub employee to ask questions about our data in plain language Here’s what we learned as we built it The post How we built an internal data analytics agent appeared first on The GitHub Blog.
2. How pull request limits are cutting down the noise
URL: https://github.blog/open-source/maintainers/how-pull-request-limits-are-cutting-down-the-noise/
Published: 2026-06-18 16:00
Summary:
Learn how pull request limits can help manage contribution volume in your repositories, and see what’s next on the roadmap The post How pull request limits are cutting down the noise appeared first on The GitHub Blog.
3. Getting more from each token: How Copilot improves context handling and model routing
Published: 2026-06-17 19:41
Summary:
How GitHub Copilot is making more of each session go toward useful work, so your credits go further The post Getting more from each token: How Copilot improves context handling and model routing appeared first on The GitHub Blog.
Google Developers
1. A Smarter Google AI Edge Gallery: MCP integration, notifications, and session continuity
Published: 2026-06-22 14:39
Summary:
The Google AI Edge Gallery app has expanded its on-device AI capabilities by introducing experimental support for the open-source Model Context Protocol (MCP) on Android, allowing Gemma 4 to coordinate complex tasks across external data sources like Google Workspace and Google Maps To enable more proactive and persistent user interactions, the update adds a “Schedule Notification” skill for automating routines and a persistent chat history feature that restores long session contexts nearly instantly Driven by an open-source toolkit, the platform encourages community developers to build and share custom utility-focused workflows, prompt configurations, and tool integrations via its GitHub repository.
2. Blazing fast on-device GenAI with LiteRT-LM
URL: https://developers.googleblog.com/blazing-fast-on-device-genai-with-litert-lm/
Published: 2026-06-22 14:39
Summary:
Google AI Edge’s LiteRT-LM provides a production-proven, highly optimized infrastructure for running Gemma 4 across cross-platform mobile and edge environments It actively unlocks the model’s native multimodal and agentic features on-device by utilizing memory-efficient dynamic loading, Multi-Token Prediction for up to a 2.2x speedup, and advanced orchestration tools like Thinking Mode and Constrained Decoding Furthermore, the engine is rapidly expanding its integration surfaces beyond Android, introducing new native Swift APIs for Apple ecosystems and WebGPU-accelerated JavaScript APIs for high-performance, serverless browser inference.
3. All the news from the Google I/O 2026 Developer keynote
URL: https://developers.googleblog.com/all-the-news-from-the-google-io-2026-developer-keynote/
Published: 2026-06-22 14:39
Summary:
Google announced the transition from assistive AI to independent agents, highlighting the launch of the Gemini 3.5 series and major updates to its Antigravity agent-first development platform For mobile developers, the post introduces new Android CLI tools, the Android Bench evaluation leaderboard, and an automated Migration agent designed to rapidly convert various frameworks into native Kotlin code Web development is also being transformed through Chrome DevTools for agents, the HTML-in-Canvas API, and the proposal of WebMCP, an open web standard that enables browser-based AI agents to execute complex tasks.
Meta Engineering
1. Lights Out, Systems On: Validating Instant Power Loss Readiness
Published: 2026-06-03 17:00
Summary:
We’re introducing Instantaneous PowerLoss Storm, a new testing paradigm within Meta’s infrastructure for handling and mitigating instant or zero-notice power loss in our data centers We’re sharing: how we built readiness to tolerate instant failures into our existing systems with defense-in-depth strategies; tradeoffs made in implementing it, and how we validated our readiness The post Lights Out, Systems On: Validating Instant Power Loss Readiness appeared first on Engineering at Meta.
2. SilverTorch: Index as Model — A New Retrieval Paradigm for Recommendation Systems
Published: 2026-05-26 16:00
Summary:
We’re introducing SilverTorch, a reimagining of recommendation systems that unifies all retrieval components for user generated content under a unified architecture Our research paper, “SilverTorch: A […] Read More The post SilverTorch: Index as Model — A New Retrieval Paradigm for Recommendation Systems appeared first on Engineering at Meta.
Stripe Engineering
1. What Link data tells us about AI spending
URL: https://stripe.com/blog/what-link-data-tells-us-about-ai-spending
Published: 2026-06-18 00:00
Summary:
We analyzed spending patterns across the 250 million customers paying with Link We found that Link customers are spending more on AI than they were three months prior, investing heavily in platforms that let them build with AI.
2. Stripe Projects adds new agent integrations, more providers, and custom developer controls
URL: https://stripe.com/blog/stripe-projects-adds-new-agents-providers-developer-controls
Published: 2026-06-11 00:00
Summary:
Our data shows that agents are now fully capable of independently writing code and integrating with APIs like Stripe’s And yet, many of the steps adjacent to writing code are still too hard for agents to do on their own We’re expanding Stripe Projects to solve this.
3. New ways to turn global demand into revenue
URL: https://stripe.com/blog/new-ways-to-turn-global-demand-into-revenue
Published: 2026-06-04 00:00
Summary:
At Sessions 2026, Stripe unveiled dozens of products and capabilities to help businesses turn global demand into revenue See how to go global faster with localized checkout and Adaptive Pricing, smarter fraud tools, multicurrency treasury support, and automated tax compliance.
Generated on 2026-06-22 14:39:45