AWS NewsDropbox EngineeringGitHub BlogGoogle DevelopersLinkedIn EngineeringMeta EngineeringStripe Engineering

Total Articles: 18 from 7 sources


AWS News

1. Amazon Bedrock adds reinforcement fine-tuning simplifying how developers build smarter, more accurate AI models

URL: https://aws.amazon.com/blogs/aws/improve-model-accuracy-with-reinforcement-fine-tuning-in-amazon-bedrock/

Published: 2025-12-03 16:08

Summary:

Amazon Bedrock now supports reinforcement fine-tuning delivering 66% accuracy gains on average over base models.

Keywords: amazon, bedrock, now, supports, reinforcement


2. New serverless customization in Amazon SageMaker AI accelerates model fine-tuning

URL: https://aws.amazon.com/blogs/aws/new-serverless-customization-in-amazon-sagemaker-ai-accelerates-model-fine-tuning/

Published: 2025-12-03 16:08

Summary:

Accelerate AI model development with new training features that enable rapid recovery from failures and automatic scaling based on resource availability.

Keywords: accelerate, model, development, new, training


3. Introducing checkpointless and elastic training on Amazon SageMaker HyperPod

URL: https://aws.amazon.com/blogs/aws/introducing-checkpointless-and-elastic-training-on-amazon-sagemaker-hyperpod/

Published: 2025-12-03 16:07

Summary:

Accelerate AI model development with new training features that enable instant recovery from failures and automatic scaling based on resource availability.

Keywords: accelerate, model, development, new, training

Dropbox Engineering

1. Building the future: highlights from Dropbox’s 2025 summer intern class

URL: https://dropbox.tech/culture/highlights-from-dropbox-2025-summer-intern-class

Published: 2025-11-26 19:00

Summary:

The Dropbox Intern Program is thoughtfully designed to cultivate growth, spark innovation, and build lasting connections.

Keywords: dropbox, intern, program, thoughtfully, designed


2. How Dash uses context engineering for smarter AI

URL: https://dropbox.tech/machine-learning/how-dash-uses-context-engineering-for-smarter-ai

Published: 2025-11-17 19:00

Summary:

Building effective, agentic AI isn’t just about adding more; it’s about helping the model focus on what matters most.

Keywords: about, building, effective, agentic, isn

GitHub Blog

1. Your stack, your rules: Introducing custom agents in GitHub Copilot for observability, IaC, and security

URL: https://github.blog/news-insights/product-news/your-stack-your-rules-introducing-custom-agents-in-github-copilot-for-observability-iac-and-security/

Published: 2025-12-03 17:00

Summary:

Use partner-built Copilot agents to debug, secure, and automate engineering workflows across your terminal, editor, and github.com. The post Your stack, your rules: Introducing custom agents in GitHub Copilot for observability, IaC, and security appeared first on The GitHub Blog.

Keywords: github, copilot, agents, use, partner


2. “The local-first rebellion”: How Home Assistant became the most important project in your house

URL: https://github.blog/open-source/maintainers/the-local-first-rebellion-how-home-assistant-became-the-most-important-project-in-your-house/

Published: 2025-12-02 17:19

Summary:

Learn how one of GitHub’s fastest-growing open source projects is redefining smart homes without the cloud. The post “The local-first rebellion”: How Home Assistant became the most important project in your house appeared first on The GitHub Blog.

Keywords: github, first, learn, one, fastest


3. How to orchestrate agents using mission control

URL: https://github.blog/ai-and-ml/github-copilot/how-to-orchestrate-agents-using-mission-control/

Published: 2025-12-01 17:00

Summary:

Run multiple Copilot agents from one place. Learn prompt techniques, how to spot drift early, and how to review agent work efficiently. The post How to orchestrate agents using mission control appeared first on The GitHub Blog.

Keywords: agents, run, multiple, copilot, one

Google Developers

1. Introducing Coral NPU: A full-stack platform for Edge AI

URL: https://developers.googleblog.com/introducing-coral-npu-a-full-stack-platform-for-edge-ai/

Published: 2025-12-03 19:10

Summary:

Coral NPU is a full-stack platform for Edge AI, addressing performance, fragmentation, and user trust deficits. It’s an AI-first architecture, prioritizing ML matrix engines, and offers a unified developer experience. Designed for ultra-low-power, always-on AI in wearables and IoT, it enables contextual awareness, audio/image processing, and user interaction with hardware-enforced privacy. Synaptics is the first partner to implement Coral NPU.

Keywords: coral, npu, user, first, full


2. Introducing Veo 3.1 and new creative capabilities in the Gemini API

URL: https://developers.googleblog.com/introducing-veo-3-1-and-new-creative-capabilities-in-the-gemini-api/

Published: 2025-12-03 19:10

Summary:

Google is releasing Veo 3.1 and Veo 3.1 Fast, an updated video generation model, in paid preview via the Gemini API. This version offers richer native audio, greater narrative control, and enhanced image-to-video capabilities. New features include guiding generation with reference images, extending existing Veo videos, and generating transitions between frames. Companies like Promise Studios, Latitude, and Whering are already using Veo 3.1 for various applications.

Keywords: veo, video, generation, google, releasing


3. Say hello to a new level of interactivity in Gemini CLI

URL: https://developers.googleblog.com/say-hello-to-a-new-level-of-interactivity-in-gemini-cli/

Published: 2025-12-03 19:10

Summary:

We’re excited to announce an enhancement to Gemini CLI that makes your workflow more powerful a…

Keywords: excited, announce, enhancement, gemini, cli

LinkedIn Engineering

1. Feed blog posts

URL: https://www.linkedin.com/blog/engineering/feed

Published: 2025-11-20 00:00

Summary:

Feed blog postsFeedPutting members first: testing and measuring how content appea…Sakshi JainNov 20, 2025InfrastructureFishDB: a generic retrieval engine for scaling LinkedIn’s feedKenneth LiNov 17, 2025Java heap memory and garbage collection: tuning for high-perfo…Nisheedh RaveendranSep 13, 2024Generative AIHow LinkedIn Built the Engineering Infrastructure to Ignite Pr…Shweta PatiraNov 20, 2023FeedHomepage feed multi-task learning using TensorFlowIan AckermanJun 3, 2021Member/Customer…

Keywords: feed, linkedin, members, content, engineering

Meta Engineering

1. Zoomer: Powering AI Performance at Meta’s Scale Through Intelligent Debugging and Optimization

URL: https://engineering.fb.com/2025/11/21/data-infrastructure/zoomer-powering-ai-performance-meta-intelligent-debugging-optimization/

Published: 2025-11-21 21:00

Summary:

We’re introducing Zoomer, Meta’s comprehensive, automated debugging and optimization platform for AI. Zoomer works across all of our training and inference workloads at Meta and provides deep performance insights that enable energy savings, workflow acceleration, and efficiency gains in our AI infrastructure. Zoomer has delivered training time reductions, and significant QPS improvements, making it the […] Read More… The post Zoomer: Powering AI Performance at Meta’s Scale Through…

Keywords: zoomer, meta, debugging, optimization, our


2. Key Transparency Comes to Messenger

URL: https://engineering.fb.com/2025/11/20/security/key-transparency-comes-to-messenger/

Published: 2025-11-20 17:00

Summary:

We’re excited to share another advancement in the security of your conversations on Messenger: the launch of key transparency verification for end-to-end encrypted chats. This new feature enables an additional level of assurance that only you — and the people you’re communicating with — can see or listen to what is sent, and that no […] Read More… The post Key Transparency Comes to Messenger appeared first on Engineering at Meta.

Keywords: messenger, key, transparency, end, excited


3. Efficient Optimization With Ax, an Open Platform for Adaptive Experimentation

URL: https://engineering.fb.com/2025/11/18/open-source/efficient-optimization-ax-open-platform-adaptive-experimentation/

Published: 2025-11-18 17:00

Summary:

We’ve released Ax 1.0, an open-source platform that uses machine learning to automatically guide complex, resource-intensive experimentation. Ax is used at scale across Meta to improve AI models, tune production infrastructure, and accelerate advances in ML and even hardware design. Our accompanying paper, “Ax: A Platform for Adaptive Experimentation” explains Ax’s architecture, methodology, and how it […] Read More… The post Efficient Optimization With Ax, an Open Platform for Adaptive…

Keywords: platform, experimentation, open, meta, adaptive

Stripe Engineering

1. New features to help SaaS platforms manage risk and stay compliant

URL: https://stripe.com/blog/new-features-to-help-saas-platforms-manage-risk-and-stay-compliant

Published: 2025-12-02 00:00

Summary:

We recently launched three new features that give you more control to fine-tune your risk and compliance strategy, allowing you to use more of Stripe’s data to inform your approach. Here’s what’s new.

Keywords: new, more, recently, launched, three


2. Create new monetization opportunities with Stripe Billing’s recent upgrades

URL: https://stripe.com/blog/create-new-monetization-opportunities-with-recent-stripe-billing-upgrades

Published: 2025-11-11 00:00

Summary:

We recently released a series of improvements to expand multiprocessor support, give you more control over your billing and invoicing models, and better tailor your pricing for AI products. Here’s everything that’s new.

Keywords: recently, released, series, improvements, expand


3. Building for the next wave of app monetization

URL: https://stripe.com/blog/building-for-the-next-wave-of-app-monetization

Published: 2025-11-04 00:00

Summary:

Last week, Google announced that Android apps selling digital goods to US customers can now process in-app payments using third-party payment providers. Many customers have turned to Stripe to handle in-app purchases by using multiple products: Stripe Managed Payments, Optimized Checkout Suite, and Stripe Billing. Here’s a closer look at our solutions for app developers.

Keywords: app, stripe, customers, payments, using


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