Total Articles: 20 from 7 sources
AWS News
1. Introducing Anthropic’s Claude Opus 4.7 model in Amazon Bedrock
URL: https://aws.amazon.com/blogs/aws/introducing-anthropics-claude-opus-4-7-model-in-amazon-bedrock/
Published: 2026-04-16 14:49
Summary:
AWS launches Claude Opus 4.7 in Amazon Bedrock, Anthropic’s most intelligent Opus model for advancing performance across coding, long-running agents, and professional work Claude Opus 4.7 is powered by Amazon Bedrock’s next generation inference engine, purpose-built for generative AI inferencing and fine-tuning workloads.
2. AWS Interconnect is now generally available, with a new option to simplify last-mile connectivity
Published: 2026-04-14 23:54
Summary:
Today, we’re announcing the general availability of AWS Interconnect – multicloud, a managed private connectivity service that connects your Amazon Virtual Private Cloud (Amazon VPC) directly to VPCs on other cloud providers We’re also introducing AWS Interconnect – last mile, a new capability that simplifies how you establish high-speed, private connections to AWS from your […]
3. AWS Weekly Roundup: Claude Mythos Preview in Amazon Bedrock, AWS Agent Registry, and more (April 13, 2026)
Published: 2026-04-13 16:16
Summary:
In my last Week in Review post, I mentioned how much time I’ve been spending on AI-Driven Development Lifecycle (AI-DLC) workshops with customers this year A common theme in those sessions is the need for better cost visibility Teams are moving fast with AI, but as they go from experimenting to full production, finance and […]
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.
GitHub Blog
1. Building an emoji list generator with the GitHub Copilot CLI
Published: 2026-04-17 18:00
Summary:
See how we created an emoji list generator during the Rubber Duck Thursday stream The post Building an emoji list generator with the GitHub Copilot CLI appeared first on The GitHub Blog.
2. Bringing more transparency to GitHub’s status page
URL: https://github.blog/news-insights/company-news/bringing-more-transparency-to-githubs-status-page/
Published: 2026-04-17 16:00
Summary:
Changes to the status page will provide more specific data, so you’ll have better insight into the overall health of the platform The post Bringing more transparency to GitHub’s status page appeared first on The GitHub Blog.
3. How GitHub uses eBPF to improve deployment safety
URL: https://github.blog/engineering/infrastructure/how-github-uses-ebpf-to-improve-deployment-safety/
Published: 2026-04-16 16:00
Summary:
Learn how Github uses eBPF to detect and prevent circular dependencies in its deployment tooling The post How GitHub uses eBPF to improve deployment safety appeared first on The GitHub Blog.
Google Developers
1. Unleash Your Development Superpowers: Refining the Core Coding Experience
Published: 2026-04-20 10:45
Summary:
The Gemini Code Assist team has introduced a suite of updates focused on streamlining the core coding workflow through high-velocity tools like Agent Mode with Auto Approve and Inline Diff Views These enhancements, along with new features for precise context management and custom commands, aim to transform the AI from a general assistant into a highly tailored, seamless collaborator that adapts to your specific development style.
2. Plan mode is now available in Gemini CLI
URL: https://developers.googleblog.com/plan-mode-now-available-in-gemini-cli/
Published: 2026-04-20 10:45
Summary:
Gemini CLI now features Plan Mode, a read-only environment that allows the AI to analyze complex codebases and map out architectural changes without the risk of accidental execution By leveraging the new ask_user tool and expanded Model Context Protocol (MCP) support, developers can collaboratively refine strategies and pull in external data before committing to implementation.
3. Announcing the Colab MCP Server: Connect Any AI Agent to Google Colab
Published: 2026-04-20 10:45
Summary:
When you’re prototyping locally with AI agents like Gemini CLI, Claude Code, or your own agent, thei…
Meta Engineering
1. 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.
2. Post-Quantum Cryptography Migration at Meta: Framework, Lessons, and Takeaways
Published: 2026-04-16 14:59
Summary:
We’re sharing lessons learned from Meta’s post-quantum cryptography (PQC) migration to help other organizations strengthen their resilience as industry transitions to post-quantum cryptography standards We’re proposing the idea of PQC Migration Levels to help teams within organizations manage the complexity of PQC migration for their various use cases The post Post-Quantum Cryptography Migration at Meta: Framework, Lessons, and Takeaways appeared first on Engineering at Meta.
3. Escaping the Fork: How Meta Modernized WebRTC Across 50+ Use Cases
Published: 2026-04-09 16:00
Summary:
At Meta, WebRTC powers real-time audio and video across various platforms But forking a large open-source project like WebRTC within our monorepo presents unique challenges – over time, an internal fork can drift behind upstream, cutting itself off from community upgrades The post Escaping the Fork: How Meta Modernized WebRTC Across 50+ Use Cases appeared first on Engineering at Meta.
Netflix TechBlog
1. 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
2. Evaluating Netflix Show Synopses with LLM-as-a-Judge
Published: 2026-04-10 16:26
Summary:
Using recent advances in agents, reasoning, and LLM-as-a-Judge, we score four key synopsis quality dimensions, achieving 85%+ agreement with creative writers To improve reasoning accuracy, we leverage two forms of inference-time scaling:Longer rationales: increase the length of the rationale or explanation generated by the LLM prior to producing a final score.Consensus scoring: sample several outputs from the LLM and aggregate their scores to produce the final result.Tiered rationales We correlate synopsis performance (take fraction or abandonment) with LLM quality scores
3. Stop Answering the Same Question Twice: Interval-Aware Caching for Druid at Netflix Scale
Published: 2026-04-06 22:15
Summary:
Older data lingers much longer, because our confidence in its accuracy grows with time.For a 3-hour rolling window, the exponential TTL ensures the vast majority of the query is served from the cache, leaving Druid to only scan the most recent, unsettled data.BucketingIf we were to use a single-level cache key for the query and interval, similar to Druid’s existing result-level cache, we wouldn’t be able to extract only the relevant time range from cached results Without special handling, the cache would treat these empty buckets as gaps and re-query Druid for them every time.We handle this by caching empty sentinel values for time buckets where Druid returned no data Crucially, KVDAL supports independent TTLs on each inner key-value pair, eliminating the need for us to manage cache eviction manually.This two-level structure gives us efficient range queries over the inner keys, which is exactly what we need for partial cache lookups: “give me all cached buckets between time A and time B for query hash X.”ResultsThe biggest win is during high-volume events (e.g., live shows): when many users view the same dashboards, the cache serves most identical queries as full hits, so the query rate reaching Druid is essentially the same with 1 viewer or 100
Stripe Engineering
1. 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.
2. 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.
3. 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.
Generated on 2026-04-20 10:45:52