Total Articles: 18 from 6 sources
AWS News
1. Top announcements of the What’s Next with AWS, 2026
URL: https://aws.amazon.com/blogs/aws/top-announcements-of-the-whats-next-with-aws-2026/
Published: 2026-04-28 18:11
Summary:
At the “What’s Next with AWS” 2026 event, AWS launched Amazon Quick—an AI assistant for work with a desktop app and expanded integrations—and expanded Amazon Connect into four agentic AI solutions for supply chain, hiring, customer experience, and healthcare AWS also expended its partnership with OpenAI, bringing models like GPT-5.5, Codex, and Managed Agents to Amazon Bedrock in limited preview.
2. AWS Weekly Roundup: Anthropic & Meta partnership, AWS Lambda S3 Files, Amazon Bedrock AgentCore CLI, and more (April 27, 2026)
Published: 2026-04-27 15:01
Summary:
Late March took me to Seattle for the Specialist Tech Conference, one of the most energizing gatherings of AWS specialists from around the world It was an incredible opportunity to connect with peers, exchange experiences, and go deep on the latest advancements in Generative AI and Amazon Bedrock — and a powerful reminder of something […]
3. AWS Weekly Roundup: Claude Opus 4.7 in Amazon Bedrock, AWS Interconnect GA, and more (April 20, 2026)
Published: 2026-04-20 15:53
Summary:
Claude Opus 4.7 arrives in Amazon Bedrock with improved agentic coding and a 1M token context window AWS Interconnect reaches general availability with multicloud private connectivity and a new last-mile option Plus, post-quantum TLS for Secrets Manager, new C8in/C8ib EC2 instances, and more.
GitHub Blog
1. GitHub Copilot CLI for Beginners: Interactive v. non-interactive mode
Published: 2026-04-30 16:09
Summary:
Learn the difference between CLI interactive v. non-interactive modes The post GitHub Copilot CLI for Beginners: Interactive v. non-interactive mode appeared first on The GitHub Blog.
2. GitHub for Beginners: Getting started with Markdown
URL: https://github.blog/developer-skills/github/github-for-beginners-getting-started-with-markdown/
Published: 2026-04-28 18:00
Summary:
Discover how to format and edit your comments and posts using Markdown The post GitHub for Beginners: Getting started with Markdown appeared first on The GitHub Blog.
3. Securing the git push pipeline: Responding to a critical remote code execution vulnerability
Published: 2026-04-28 15:30
Summary:
How we validated, fixed, and investigated a critical vulnerability in under two hours, and confirmed no exploitation The post Securing the git push pipeline: Responding to a critical remote code execution vulnerability appeared first on The GitHub Blog.
Google Developers
1. Jump to play: Building with Gemini & MediaPipe
URL: https://developers.googleblog.com/jump-to-play-building-with-gemini-mediapipe/
Published: 2026-05-03 10:02
Summary:
The provided workflow streamlines motion-controlled game development by using Gemini Canvas to rapidly prototype mechanics like the MediaPipe Pose Landmarker through high-level prompting Developers can refine these prototypes in Google AI Studio by optimizing for low-latency “lite” models and stable tracking points, such as shoulder landmarks, to ensure responsive gameplay The process concludes by using Gemini Code Assist to refactor experimental code into a modular, production-ready application capable of supporting various multimodal inputs.
2. Closing the knowledge gap with agent skills
URL: https://developers.googleblog.com/closing-the-knowledge-gap-with-agent-skills/
Published: 2026-05-03 10:02
Summary:
To bridge the gap between static model knowledge and rapidly evolving software practices, Google DeepMind developed a “Gemini API developer skill” that provides agents with live documentation and SDK guidance Evaluation results show a massive performance boost, with the gemini-3.1-pro-preview model jumping from a 28.2% to a 96.6% success rate when equipped with the skill This lightweight approach demonstrates how giving models strong reasoning capabilities and access to a “source of truth” can effectively eliminate outdated coding patterns.
3. Announcing ADK for Java 1.0.0: Building the Future of AI Agents in Java
Published: 2026-05-03 10:02
Summary:
Google has released version 1.0.0 of the Agent Development Kit (ADK) for Java, introducing powerful new features like Google Maps grounding, built-in URL fetching, and a standardized Agent2Agent protocol for cross-framework collaboration The update enhances agent control through a new “App” and “Plugin” architecture, which allows for global logging, automated context window management via event compaction, and “Human-in-the-Loop” workflows for action confirmations Additionally, the release provides robust session and memory services using Google Cloud integrations like Firestore and Vertex AI to manage long-term state and large data artifacts.
Meta Engineering
1. How Meta Is Strengthening End-to-End Encrypted Backups
URL: https://engineering.fb.com/2026/05/01/security/meta-strengthening-end-to-end-encrypted-backups/
Published: 2026-05-01 16:00
Summary:
The HSM-based Backup Key Vault Meta’s HSM-based Backup Key Vault provides the foundation for end-to-end encrypted backups for WhatsApp and Messenger The system allows people to protect their backed-up message history with a recovery code, ensuring that the recovery code is stored in tamper-resistant hardware security modules (HSMs) and is inaccessible to Meta, cloud storage […] Read More The post How Meta Is Strengthening End-to-End Encrypted Backups appeared first on Engineering at Meta.
2. Modernizing the Facebook Groups Search to Unlock the Power of Community Knowledge
Published: 2026-04-21 16:00
Summary:
We’ve fundamentally transformed Facebook Groups Search to help people more reliably discover, sort through, and validate community content that’s most relevant to them We’ve adopted a new hybrid retrieval architecture and implemented automated model-based evaluation to address the major friction points people experience when searching community content Under this new framework, we’ve made tangible improvements […] Read More
3. Capacity Efficiency at Meta: How Unified AI Agents Optimize Performance at Hyperscale
Published: 2026-04-16 16:00
Summary:
We’re sharing insights into Meta’s Capacity Efficiency Program, where we’ve built an AI agent platform that helps automate finding and fixing performance issues throughout our infrastructure By leveraging encoded domain expertise across a unified, standardized tool interface these agents help save power and free up engineers’ time away from addressing performance issues to innovating on […] Read More The post Capacity Efficiency at Meta: How Unified AI Agents Optimize Performance at Hyperscale appeared first on Engineering at Meta.
Netflix TechBlog
1. State of Routing in Model Serving
Published: 2026-05-01 21:03
Summary:
In this introductory blog post, we will dive into our domain-independent API abstraction and its traffic routing capabilities that the central ML model serving platform exposes to several domain-specific microservices for model inference We’ll first describe how we implemented this abstraction with Switchboard, a centralized routing service, and then discuss the operational challenges we encountered at scale and how they led us to the Lightbulb architecture.ML Model Serving Platform PrinciplesWe envisioned a central model serving platform for all of Netflix’s member-facing ML Model serving needs Because the routingKey is in a header, this determination can be made with minimal overhead.These changes retain the advantages of Switchboard, such as a single integration point, abstraction of model id from use case, context-aware routing, while addressing the challenges we observed over time.ConclusionThe evolution from Switchboard to Lightbulb marks a significant architectural refinement in our ML model serving infrastructure
2. Scaling Camera File Processing at Netflix
Published: 2026-04-24 15:06
Summary:
To reduce friction and keep productions moving smoothly, we built Netflix’s Media Production Suite (MPS) with the goal of automating repeatable tasks, standardizing key workflows, and giving productions more time to focus on creative collaboration and craftsmanship.A critical part of this effort is how we handle image processing and camera metadata across the hundreds of hours and terabytes of camera footage that Netflix productions ingest on a daily basis Rather than build every component from scratch, we chose to partner where it made sense–especially in areas where the industry already had trusted, battle-tested solutions.This article explores how Netflix’s Media Production Suite integrates with FilmLight’s API (FLAPI) as the core studio media processing engine in Netflix’s cloud compute infrastructure, and how that collaboration helps us deliver smarter, more reliable workflows at scale.Why We Built MPSAs Netflix’s production slate grew, so did the complexity of file-based workflows Their FilmLight API (FLAPI) allows us to use that same media processing engine as a backend API.Rather than duplicating that work, we chose to integrate
3. The Human Infrastructure: How Netflix Built the Operations Layer Behind Live at Scale
Published: 2026-04-17 15:01
Summary:
This post pulls back the curtain on the Live Operations teams that enable this rapid scale.Humble BeginningsIn March 2023, the engineers who built Netflix’s first live streaming pipeline also operated it In the earliest days of live streaming, there was no dedicated operations team or formal broadcast operations center The software engineers who wrote the code and built the live-streaming infrastructure were the same people manually operating the events on launch night
Stripe Engineering
1. Everything we announced at Sessions 2026
URL: https://stripe.com/blog/everything-we-announced-at-sessions-2026
Published: 2026-04-29 00:00
Summary:
We’re making Stripe even more programmable; protecting and propelling your business with the strength of the Stripe network; and building economic infrastructure for AI.
2. Giving agents the ability to pay
URL: https://stripe.com/blog/giving-agents-the-ability-to-pay
Published: 2026-04-29 00:00
Summary:
Link’s wallet for agents gives agents programmatic access to Link, including the ability to generate a one-time-use card or Shared Payment Token (SPT) backed by the cards and bank accounts already in your wallet It’s built on Stripe’s new Issuing for agents.
3. How agents, digital wallets, and trust are rewriting checkout
URL: https://stripe.com/blog/global-checkout-trends
Published: 2026-04-07 00:00
Summary:
We analyzed checkout activity across more than 20K businesses, surveyed shoppers and ecommerce leaders, and gathered insights from businesses on the Stripe network to understand what’s changing in online conversion.
Generated on 2026-05-03 10:02:18