Total Articles: 20 from 8 sources
AWS News
1. Announcing managed daemon support for Amazon ECS Managed Instances
URL: https://aws.amazon.com/blogs/aws/announcing-managed-daemon-support-for-amazon-ecs-managed-instances/
Published: 2026-04-01 23:31
Summary:
Amazon ECS Managed Daemons gives platform engineers independent control over monitoring, logging, and tracing agents without application team coordination, ensuring consistent daemon deployment and comprehensive host-level observability at scale.
2. Announcing the AWS Sustainability console: Programmatic access, configurable CSV reports, and Scope 1–3 reporting in one place
Published: 2026-03-31 19:04
Summary:
AWS announces the Sustainability console, a new standalone service that consolidates carbon emissions reporting and resources, giving sustainability teams independent access to Scope 1, 2, and 3 emissions data without requiring billing permissions.
3. AWS Weekly Roundup: AWS AI/ML Scholars program, Agent Plugin for AWS Serverless, and more (March 30, 2026)
Published: 2026-03-30 16:11
Summary:
Last week, what excited me most was the launch of the 2026 AWS AI & ML Scholars program by Swami Sivasubramanian, VP of AWS Agentic AI, to provide free AI education to up to 100,000 learners worldwide The program has two phases: a Challenge phase where you’ll learn foundational generative AI skills, followed by a […]
Dropbox Engineering
1. Improving storage efficiency in Magic Pocket, our immutable blob store
Published: 2026-04-02 17:00
Summary:
By turning compaction into a layered, adaptive pipeline and strengthening our monitoring and controls, we made Magic Pocket more resilient to workload changes.
2. Reducing our monorepo size to improve developer velocity
URL: https://dropbox.tech/infrastructure/reducing-our-monorepo-size-to-improve-developer-velocity
Published: 2026-03-25 17:00
Summary:
Monorepos will continue to grow as products evolve, but growth doesn’t have to mean friction.
3. How we optimized Dash’s relevance judge with DSPy
URL: https://dropbox.tech/machine-learning/optimizing-dropbox-dash-relevance-judge-with-dspy
Published: 2026-03-17 17:00
Summary:
We used DSPy to turn prompt engineering for our relevance judge into a measurable, automated optimization loop, improving task performance, cost, and how reliably it works in production.
GitHub Blog
1. Securing the open source supply chain across GitHub
Published: 2026-04-01 19:20
Summary:
Recent attacks on open source focus on exfiltrating secrets; here are the prevention steps you can take today, plus a look at the security capabilities GitHub is working on The post Securing the open source supply chain across GitHub appeared first on The GitHub Blog.
2. Run multiple agents at once with /fleet in Copilot CLI
URL: https://github.blog/ai-and-ml/github-copilot/run-multiple-agents-at-once-with-fleet-in-copilot-cli/
Published: 2026-04-01 15:00
Summary:
/fleet lets Copilot CLI dispatch multiple agents in parallel Learn how to write prompts that split work across files, declare dependencies, and avoid common pitfalls The post Run multiple agents at once with /fleet in Copilot CLI appeared first on The GitHub Blog.
3. Agent-driven development in Copilot Applied Science
URL: https://github.blog/ai-and-ml/github-copilot/agent-driven-development-in-copilot-applied-science/
Published: 2026-03-31 16:00
Summary:
I used coding agents to build agents that automated part of my job Here’s what I learned about working better with coding agents The post Agent-driven development in Copilot Applied Science appeared first on The GitHub Blog.
Google Developers
1. On-Device Function Calling in Google AI Edge Gallery
URL: https://developers.googleblog.com/on-device-function-calling-in-google-ai-edge-gallery/
Published: 2026-04-03 09:51
Summary:
Google has introduced FunctionGemma, a specialized 270M parameter model designed to bring efficient, action-oriented AI experiences directly to mobile devices through on-device function calling By leveraging Google AI Edge and LiteRT-LM, the model enables complex tasks—such as managing calendars, controlling device hardware, or executing specific game logic in the “Tiny Garden” demo—to be performed entirely offline with high speed and low latency Available for testing in the Google AI Edge Gallery app on both Android and iOS, FunctionGemma allows developers to move beyond simple text generation toward building responsive, “agentic” applications that interact seamlessly with the physical and digital world without relying on cloud processing.
2. Supercharge your AI agents: The New ADK Integrations Ecosystem
URL: https://developers.googleblog.com/supercharge-your-ai-agents-adk-integrations-ecosystem/
Published: 2026-04-03 09:51
Summary:
Agent Development Kit (ADK) now supports a robust ecosystem of third-party tools and integrations Connect your agents to GitHub, Notion, Hugging Face, and more to build capable, real-world applications.
3. How we built the Google I/O 2026 Save the Date experience
URL: https://developers.googleblog.com/how-we-built-the-google-io-2026-save-the-date-experience/
Published: 2026-04-03 09:51
Summary:
Google I/O 2026 is returning May 19-20 at Shoreline Amphitheatre in Mountain View, CA But before the keynotes begin, you can get into the spirit of the event with our annual tradition: the save the date puzzle This year’s experience highlights how AI can empower and accelerate
LinkedIn Engineering
1. Feed blog posts
URL: https://www.linkedin.com/blog/engineering/feed
Published: 2026-03-12 00:00
Summary:
Feed blog postsFeedEngineering the next generation of LinkedIn’s FeedHristo DanchevMar 12, 2026FeedPutting 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 ExperienceHelping members discover communities around interestsChiachi LoSep 17, 2020FeedUnderstanding dwell time to improve LinkedIn feed rankingSiddharth DangiMay 12, 2020FeedRapid experimentation through standardization: Typed AI featur…Ian AckermanApr 15, 2020The Top 2019 LinkedIn Engineering BlogsJaren AndersonDec 9, 2019OptimizationAuditing content features in FollowFeedBanu MuthukumarAug 27, 2019FeedCommunity-focused Feed optimizationJun 25, 2019Previous123Next
Meta Engineering
1. KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure
Published: 2026-04-02 19:59
Summary:
This is the second post in the Ranking Engineer Agent blog series exploring the autonomous AI capabilities accelerating Meta’s Ads Ranking innovation The previous post introduced Ranking Engineer Agent’s ML exploration capability, which autonomously designs, executes, and analyzes ranking model experiments The post KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure appeared first on Engineering at Meta.
2. Meta Adaptive Ranking Model: Bending the Inference Scaling Curve to Serve LLM-Scale Models for Ads
Published: 2026-03-31 16:00
Summary:
Meta continues to lead the industry in utilizing groundbreaking AI Recommendation Systems (RecSys) to deliver better experiences for people, and better results for advertisers To reach the next frontier of performance, we are scaling Meta’s Ads Recommender runtime models to LLM-scale & complexity to further a deeper understanding of people’s interests and intent The post Meta Adaptive Ranking Model: Bending the Inference Scaling Curve to Serve LLM-Scale Models for Ads appeared first on Engineering at Meta.
3. AI for American-Produced Cement and Concrete
Published: 2026-03-30 16:00
Summary:
Meta is continuing its long-term roadmap to help the construction industry leverage AI to produce high-quality and more sustainable concrete mixes, as well as those exclusively produced in the United States Concurrent with the 2026 American Concrete Institute (ACI) Spring Convention, Meta is releasing a new AI model for designing concrete mixes – Bayesian Optimization […] Read More The post AI for American-Produced Cement and Concrete appeared first on Engineering at Meta.
Netflix TechBlog
1. Smarter Live Streaming at Scale: Rolling Out VBR for All Netflix Live Events
Published: 2026-04-02 21:46
Summary:
That’s more efficient, but it also means that “same nominal bitrate” does not imply “same average number of bits” anymore — so simply reusing our CBR settings risks giving VBR less bitrate on average and losing some quality.In practice, of course, we don’t just encode a single stream; we produce a set of streams at different resolutions and nominal bitrates — often called a bitrate ladder — so devices can adapt to their current network conditions by switching between them Wherever VBR fell more than about one VMAF point below CBR, we increased its nominal bitrate just enough to close the gap Higher‑bitrate streams, where VBR quality was already very close to CBR, were left largely unchanged, including the 8 Mbps stream from the figure.The result is a VBR ladder with slightly higher nominal bitrates on a few low‑end streams, but lower overall traffic, because VBR still drops the bitrate on simple scenes
Stripe Engineering
1. Insights from Shoptalk 2026: How agents are changing retail
URL: https://stripe.com/blog/shoptalk-2026
Published: 2026-04-02 00:00
Summary:
Retailers know search and discovery have already shifted What comes next is less settled From embedded checkout to emerging third-party surfaces, here’s how ecommerce and AI leaders are integrating agentic commerce.
2. How Stripe Radar helps prevent free trial abuse
URL: https://stripe.com/blog/how-stripe-radar-helps-prevent-free-trial-abuse
Published: 2026-03-24 00:00
Summary:
Radar now helps prevent free trial abuse with just one click When enabled, Radar predicts the presence of abusive behavior that violates common trial terms, such as repeated trial signup or missed cancellations, with 90% accuracy.
3. Three of the biggest fraud trends from MRC Vegas 2026
URL: https://stripe.com/blog/three-fraud-trends-from-mrc-vegas-2026
Published: 2026-03-20 00:00
Summary:
The most sophisticated fraud teams are shifting from one-size-fits-all fraud approaches to more dynamic, tailored interventions They are removing friction for trusted users, embedding fraud detection directly into agentic transactions, and investing in multilayered identity verification to combat deepfakes.
Generated on 2026-04-03 09:51:20