Total Articles: 20 from 7 sources
AWS News
1. Run isolated sandboxes with full lifecycle control: AWS Lambda introduces MicroVMs
Published: 2026-06-22 22:40
Summary:
AWS launches a new serverless compute primitive, AWS Lambda MicroVMs VM-level, isolated sandboxes with no shared kernel or resources between sessions Rapid launch and resume, full lifecycle control, state preservation up to 8 hours, no infrastructure to manage.
2. AWS Weekly Roundup: NY Summit recap, Local Zone in Hanoi, Grok 4.3 in Bedrock, price reductions, and more (June 22, 2026)
Published: 2026-06-22 14:46
Summary:
Last week AWS Summit New York City brought together thousands of customers, partners, and builders for a free, one-day event showcasing the latest in cloud and AI innovation Swami Sivasubramanian, VP of Agentic AI at AWS unveiled a stack of AI launches in his keynote, all built around one thesis: agents that compound value […]
3. 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.
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. From pledge to practice: Building a more inclusive open source ecosystem
Published: 2026-06-22 17:20
Summary:
Learn about the progress we’ve made toward our accessibility goals and how you can help make open source more inclusive The post From pledge to practice: Building a more inclusive open source ecosystem appeared first on The GitHub Blog.
2. 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.
3. 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.
Google Developers
1. 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: 2026-06-23 11:58
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.
2. One Year of Innovation: Celebrating 100k Members in the Google Cloud x NVIDIA Developer Community
Published: 2026-06-23 11:58
Summary:
The Google Cloud and NVIDIA developer community is celebrating its first anniversary with 100,000 members and a renewed focus on providing builders with advanced AI infrastructure and resources To accelerate development, the community offers curated learning pathways for mastering LLM optimization, GPU-accelerated data analytics, and monthly expert-led webinars Moving into its second year, the initiative will expand to include hands-on labs, engineering events, and specialized content focused on the growth of agentic AI.
3. An important update: Transitioning Gemini CLI to Antigravity CLI
URL: https://developers.googleblog.com/an-important-update-transitioning-gemini-cli-to-antigravity-cli/
Published: 2026-06-23 11:58
Summary:
Google is unifying its AI terminal tools by transitioning the community-focused Gemini CLI into Antigravity CLI, a new agent-first platform built for complex, multi-agent workflows This new Go-based tool offers faster execution, asynchronous processing, and a unified architecture that syncs with the Antigravity 2.0 desktop application While enterprise customers will maintain existing access, individual and free users must transition to the new platform before Gemini CLI stops serving requests on June 18, 2026.
Meta Engineering
1. Adopting AV1 for Real-Time Communication (RTC) at Scale
Published: 2026-06-22 16:00
Summary:
Adopting AV1 for real-time communication at Meta has been a multi-year effort spanning codec selection, device eligibility, rate control, and error resilience We’re sharing the technical and operational challenges while deploying AV1 and expanding coverage, and how we addressed them for real-time communication The post Adopting AV1 for Real-Time Communication (RTC) at Scale appeared first on Engineering at Meta.
2. 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.
3. 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.
Netflix TechBlog
1. Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix
Published: 2026-06-23 00:31
Summary:
We believe this work can help advance the field in a way that’s both meaningful and responsible:Vera: a layered video diffusion model Vera generates only what needs to change as separate edit layers while leaving the rest of the video untouched, preserving the identities, performances, and other details from the source footage exactly as filmed.VOID: a video inpainting model for video object and interaction deletion Specifically, the counterfactual videos are generated by re-simulating the exact scene from the original video, but with the target object(s) or human removed
2. How Netflix Simplified Batch Compute with Kueue
Published: 2026-06-22 21:35
Summary:
Reservations are not required to use CMB, so a tenant can run out of shared capacity entirely In addition, our learnings are being leveraged by other internal teams, including those building Kubernetes-native training infrastructure, to inform their job scheduling and queuing configurations.Fair Sharing and PreemptionWith Kueue, Preemption-based Fair Sharing allows Netflix Batch to maintain reservation semantics while lending resources to other tenants when those reservations are not in use For our customers, this means that tenants can use more idle capacity from reservations, submit more jobs without the risk of starvation, and have quicker turnaround times for business-critical workloads.An example preemption configuration on a ClusterQueue that we would be using is as follows:apiVersion: kueue.x-k8s.io/v1beta2kind: ClusterQueuemetadata: name: “team-a-cq”spec: preemption: reclaimWithinCohort: Any withinClusterQueue: LowerPriorityWith these features deployed, Compute has seen a significant increase in average resource utilization.AcknowledgementThis work would not have been possible without the great work of the entire Compute team at Netflix.How Netflix Simplified Batch Compute with Kueue was originally published in Netflix TechBlog on Medium, where people are continuing the conversation by highlighting and responding to this story.
3. The Data Canary: How Netflix Validates Catalog Metadata
Published: 2026-06-19 23:54
Summary:
By Celina AmadosAt Netflix, our catalog metadata is crucial to our member experience, and a single corrupted data state can impact millions of viewers immediately Each upstream source had its own validation, but these checks didn’t catch corruption in the final transformed output.We needed to treat data deployments with the same rigor as code deployments.The Challenge: Validating Data at Short IntervalsOur catalog metadata service operates as a high-velocity data pipeline: it processes multiple input feeds, transforms them, and publishes the final catalog state that gets distributed across our infrastructure.This creates unique validation challenges that our traditional canary analysis tools aren’t designed to handle:Time Constraints: Our existing canary analysis tools require 30–60 minutes to reach statistical confidence Here’s how it works:Orchestrator Instance: A dedicated orchestrator instance of our catalog metadata service coordinates the data canary flow
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 2026-06-23 11:58:48