AWS NewsDropbox EngineeringGitHub BlogGoogle DevelopersMeta EngineeringNetflix TechBlogStripe Engineering

Total Articles: 16 from 7 sources


AWS News

1. AWS Weekly Roundup: Claude Opus 4.6 in Amazon Bedrock, AWS Builder ID Sign in with Apple, and more (February 9, 2026)

URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-claude-opus-4-6-in-amazon-bedrock-aws-builder-id-sign-in-with-apple-and-more-february-9-2026/

Published: 2026-02-09 20:42

Summary:

Amazon DynamoDB global tables now support replication across multiple AWS accounts for improved resiliency and workload isolation On the security front, AWS Builder ID now supports Sign in with Apple, AWS STS adds validation for identity provider claims and Amazon CloudFront introduces mutual TLS support for origins to enforce certificate-based authentication For AI, Claude Opus 4.6—Anthropic’s most intelligent model—is now available in Amazon Bedrock, bringing industry-leading performance for agentic tasks and complex coding projects


2. Amazon EC2 C8id, M8id, and R8id instances with up to 22.8 TB local NVMe storage are generally available

URL: https://aws.amazon.com/blogs/aws/amazon-ec2-c8id-m8id-and-r8id-instances-with-up-to-22-8-tb-local-nvme-storage-are-generally-available/

Published: 2026-02-04 22:31

Summary:

AWS launches Amazon EC2 C8id, M8id, and R8id instances backed by NVMe-based SSD block-level instance storage physically connected to the host server These instances offer 3 times more vCPUs, memory, and local storage with up to 22.8TB of local NVMe-backed SSD block-level storage.


3. AWS IAM Identity Center now supports multi-Region replication for AWS account access and application use

URL: https://aws.amazon.com/blogs/aws/aws-iam-identity-center-now-supports-multi-region-replication-for-aws-account-access-and-application-use/

Published: 2026-02-03 19:13

Summary:

AWS IAM Identity Center now supports multi-Region replication of workforce identities and permission sets, enabling improved resiliency for AWS account access and allowing applications to be deployed closer to users while meeting data residency requirements.

Dropbox Engineering

1. Engineering VP Josh Clemm on how we use knowledge graphs, MCP, and DSPy in Dash

URL: https://dropbox.tech/machine-learning/vp-josh-clemm-knowledge-graphs-mcp-and-dspy-dash

Published: 2026-01-28 18:00

Summary:

Engineering VP Josh Clemm deep-dives into how we think about knowledge graphs, indexes, MCP, and prompt optimization using tools like DSPy.

GitHub Blog

1. Continuous AI in practice: What developers can automate today with agentic CI

URL: https://github.blog/ai-and-ml/generative-ai/continuous-ai-in-practice-what-developers-can-automate-today-with-agentic-ci/

Published: 2026-02-05 17:00

Summary:

Think of Continuous AI as background agents that operate in your repository for tasks that require reasoning The post Continuous AI in practice: What developers can automate today with agentic CI appeared first on The GitHub Blog.


2. Pick your agent: Use Claude and Codex on Agent HQ

URL: https://github.blog/news-insights/company-news/pick-your-agent-use-claude-and-codex-on-agent-hq/

Published: 2026-02-04 17:00

Summary:

Claude by Anthropic and OpenAI Codex are now available in public preview on GitHub and VS Code with a Copilot Pro+ or Copilot Enterprise subscription Here’s what you need to know and how to get started today The post Pick your agent: Use Claude and Codex on Agent HQ appeared first on The GitHub Blog.


3. What the fastest-growing tools reveal about how software is being built

URL: https://github.blog/news-insights/octoverse/what-the-fastest-growing-tools-reveal-about-how-software-is-being-built/

Published: 2026-02-03 17:00

Summary:

What languages are growing fastest, and why What about the projects that people are interested in the most The post What the fastest-growing tools reveal about how software is being built appeared first on The GitHub Blog.

Google Developers

1. Architecting efficient context-aware multi-agent framework for production

URL: https://developers.googleblog.com/architecting-efficient-context-aware-multi-agent-framework-for-production/

Published: 2026-02-11 09:51

Summary:

ADK introduces Context Engineering to scale AI agents beyond large context windows It treats context as a compiled view over a tiered, stateful system (Session, Memory, Artifacts) This architecture uses explicit processors for transformation, enables efficient compaction and caching, and allows for strict, scoped context handoffs in multi-agent workflows to ensure reliability and cost-effectiveness in production.


2. MediaTek NPU and LiteRT: Powering the next generation of on-device AI

URL: https://developers.googleblog.com/mediatek-npu-and-litert-powering-the-next-generation-of-on-device-ai/

Published: 2026-02-11 09:51

Summary:

LiteRT and MediaTek are announcing the new LiteRT NeuroPilot Accelerator This is a ground-up successor for the TFLite NeuroPilot delegate, bringing seamless deployment experience, state-of-the-art LLM support, and advanced performance to millions of devices worldwide.


3. Don’t Trust, Verify: Building End-to-End Confidential Applications on Google Cloud

URL: https://developers.googleblog.com/dont-trust-verify-building-end-to-end-confidential-applications-on-google-cloud/

Published: 2026-02-11 09:51

Summary:

Google Cloud enables end-to-end confidential applications, protecting sensitive data ‘in-use’ with hardware isolation The solution combines Confidential Space (TEE/attestation), Oak Functions (private sandbox), and Oak Session (attested end-to-end encryption for scale) This framework anchors user trust in open-source components, proving confidentiality for sensitive workloads like proprietary GenAI models, even when running behind untrusted load balancers.

Meta Engineering

1. Building Prometheus: How Backend Aggregation Enables Gigawatt-Scale AI Clusters

URL: https://engineering.fb.com/2026/02/09/data-center-engineering/building-prometheus-how-backend-aggregation-enables-gigawatt-scale-ai-clusters/

Published: 2026-02-09 17:00

Summary:

We’re sharing details of the role backend aggregation (BAG) plays in building Meta’s gigawatt-scale AI clusters like Prometheus Once it’s complete our AI […] Read More The post Building Prometheus: How Backend Aggregation Enables Gigawatt-Scale AI Clusters appeared first on Engineering at Meta.


2. No Display? No Problem: Cross-Device Passkey Authentication for XR Devices

URL: https://engineering.fb.com/2026/02/04/security/cross-device-passkey-authentication-for-xr-devices-meta-quest/

Published: 2026-02-04 22:00

Summary:

We’re sharing a novel approach to enabling cross-device passkey authentication for devices with inaccessible displays (like XR devices) Our approach bypasses the use of QR codes and enables cross-device authentication without the need for an on-device display, while still complying with all trust and proximity requirements No Problem: Cross-Device Passkey Authentication for XR Devices appeared first on Engineering at Meta.


3. Rust at Scale: An Added Layer of Security for WhatsApp

URL: https://engineering.fb.com/2026/01/27/security/rust-at-scale-security-whatsapp/

Published: 2026-01-27 15:00

Summary:

WhatsApp has adopted and rolled out a new layer of security for users – built with Rust – as part of its effort to harden defenses against malware threats WhatsApp’s experience creating and distributing our media consistency library in Rust to billions of devices and browsers proves Rust is production ready at a global scale. […] Read More The post Rust at Scale: An Added Layer of Security for WhatsApp appeared first on Engineering at Meta.

Netflix TechBlog

1. The AI Evolution of Graph Search at Netflix

URL: https://netflixtechblog.com/the-ai-evolution-of-graph-search-at-netflix-d416ec5b1151?source=rss----2615bd06b42e---4

Published: 2026-01-26 19:01

Summary:

We need the LLM to generate a Graph Search Filter DSL statement that is syntactically, semantically, and pragmatically correct.Syntactic correctness is easy — does it parse For some fields, there is additional information we can provide beyond what’s available in the schema as well, in particular permissible values that pull from controlled vocabularies.Each field in the index is associated with metadata as seen below, and that metadata is provided as part of the context.Graph Search index representationThe field is derived from the document path as characterized by the GraphQL query.The description is the comment from the GraphQL schema for the field.The type is derived from the GraphQL schema for the field e.g This design strategically balances LLM involvement with more deterministic strategies.End-to-end architectureThe end-to-end process is as follows:A user’s natural language question (with optional @mentions statements) are provided as input, along with the Graph Search index contextThe context is scoped by using the RAG pattern on both fields and possible valuesThe pre-processed context and the question are fed into the LLM with an instruction asking for a syntactically and semantically correct filter statementThe generated filer statement DSL is verified and checked for hallucinationsThe final response contains the related AST in order to build “Chips” and “Facets”SummaryBy combining our existing Graph Search infrastructure with the power and flexibility of LLMs, we’ve bridged the gap between complex filter statements and user intent

Stripe Engineering

1. Metronome + Stripe: Building the future of billing

URL: https://stripe.com/blog/metronome-stripe-building-the-future-of-billing

Published: 2026-01-23 00:00

Summary:

Together, Metronome and Stripe are building the most flexible and complete billing solution on the market—one that works for everyone, from engineers in a garage figuring out their business model to public companies monetizing at global scale.


URL: https://stripe.com/blog/three-agentic-commerce-trends-nrf-2026

Published: 2026-01-16 00:00

Summary:

Not only are the majority of retailers actively implementing, or have plans to implement, agentic commerce, but many are also moving to a more tactical phase of optimizing their setup—refining their product catalog strategy to launch faster and investing in their own agentic shopping experiences in addition to integrating with third-party agents.


Generated on 2026-02-11 09:51:45