JUN 2, 2026
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Today's dispatch · Editor's pick

Protected: Scaling AI for silicon

Erik Berg, a Senior Principal Engineer at Microsoft, discusses scaling AI for silicon development. Microsoft's Cobalt silicon organization uses AI to streamline and automate tasks in IP and SoC development. Berg's efforts aim to simplify and accelerate AI adoption in silicon engineering workflows.

Microsoft Engineering·1 min read·1d ago·AI / Platform
Fig. MICROSOFT-01— placeholder: hero illustration
Trending this week3 / 569
1
Building a scalable user search layer on top of Amazon Cognito
AWS Architecture · 1d ago
2Scaling oncology patient support: How New York Cancer and Blood Specialists transformed customer experience with AWS and Pronetx, now part of CaylentAWS Architecture · 20h ago
3How we reduced core unit boot time from hours to minutesCloudflare Blog · 1d ago

The Digest

569 articles
AWS20h ago

Scaling oncology patient support: How New York Cancer and Blood Specialists transformed customer experience with AWS and Pronetx, now part of Caylent

Here's a 3-sentence summary of the blog post: New York Cancer and Blood Specialists transformed their patient support experience with AWS and Pronetx, now part of Caylent, achieving a 54% improvement in patient enrollment and real-time visibility into call quality. They migrated to Amazon Connect Customer, leveraging a dedicated contact center instance to implement multi-language routing, specialty-based queue prioritization, and HIPAA-compliant call recording. The architecture is divided into three layers: CTR management, core contact center services, and call recording and AI/ML pipeline, with AWS services ensuring encryption, identity access, and monitoring for HIPAA compliance.

CloudArchitecture
1 min
Cloudflare1d ago

How we reduced core unit boot time from hours to minutes

Cloudflare engineers tackled a critical issue of prolonged core unit boot times, which affected nearly 2,000 Gen12 units, after a routine firmware update caused some servers to take four hours to reboot instead of minutes. They identified the problem as a firmware quirk that led to a linear search through every network boot interface, wasting minutes due to timeout responses. To resolve this, they restructured the boot automation workflow to declare the correct network boot interface upfront, eliminating the guesswork and reducing total boot time from four hours to minutes.

NetworkingSecurity
1 min
AWS1d ago

Building a scalable user search layer on top of Amazon Cognito

Here is a 3-sentence summary of the blog post: To build a scalable user search layer on top of Amazon Cognito, developers can combine AWS Lambda, Amazon DynamoDB, and Amazon OpenSearch Service to create a comprehensive search layer with features like multiple search types, complex filtering, and high performance. The solution architecture captures user data during authentication and updates it in real-time using Cognito Lambda triggers and AWS CloudTrail, which then index the data in OpenSearch Serverless through DynamoDB Streams. This scalable, event-driven architecture supports powerful use cases like locating users across thousands of accounts, segmenting users by group membership, and auditing user attributes with complex filtering.

CloudArchitecture
1 min
Microsoft1d ago

Protected: Scaling AI for silicon

Erik Berg, a Senior Principal Engineer at Microsoft, discusses scaling AI for silicon development. Microsoft's Cobalt silicon organization uses AI to streamline and automate tasks in IP and SoC development. Berg's efforts aim to simplify and accelerate AI adoption in silicon engineering workflows.

AIPlatform
1 min
Netflix3d ago

High-Throughput Graph Abstraction at Netflix: Part I

By Oleksii Tkachuk, Kartik Sathyanarayanan, Rajiv ShringiIntroductionNetflix has a diverse range of graph use cases, each serving specific business needs with...

StreamingScale
14 min
Netflix4d ago

From Silos to Service Topology: Why Netflix Built a Real-Time Service Map

By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez & Nathan FisherHow we built a living map of our distributed infrastructure to help engineers...

StreamingScale
15 min
Kiro4d ago

Opus 4.8 is now available in Kiro

Opus 4.8 is now available in Kiro, delivering a more intelligent code-completion engine with sharper judgment, tighter tool orchestration, and better follow-through on complex tasks. This upgrade enables users to confidently delegate more work to Opus, with improvements in self-verification, tool calling efficiency, and long-horizon project management. Opus 4.8 scores 69.2% on agentic coding benchmarks, offering a 5% increase from Opus 4.7.

AIDevTools
1 min
Dropbox4d ago

Beyond code generation: rethinking engineering productivity in the age of AI agents

Dropbox has moved beyond solely using AI coding tools to accelerate code generation and is now focusing on creating agentic systems that can execute scoped tasks. This shift has changed the way engineers work, with implementation workflows becoming more parallel and repetitive execution being offloaded to AI agents. As a result, Dropbox has built a platform called Nova, which allows engineers to describe tasks in plain language and run AI agents in a controlled environment, producing meaningful output and changing the operating model of software development.

InfrastructureScale
1 min
Slack5d ago

Slack AI: The Path to Multi-Cloud

Here is a concise summary of the engineering blog post in 2-3 sentences: Slack AI migrated from a basic infrastructure to a multi-cloud architecture over three years, driven by the need for a system resilient to regional outages and GPU scarcity. The company first leveraged AWS SageMaker but moved to Amazon Bedrock, a managed LLM service, to gain operational simplicity, immediate model access, and infrastructure efficiency. This migration delivered compounding wins for the engineering team and customers, achieving operational maturity with architectural simplicity, enhanced user experience, and zero customer-facing incidents.

CollaborationInfrastructure
1 min
Cloudflare5d ago

How we built Cloudflare's data platform and an AI agent on top of it

Cloudflare built a unified data analytics platform called Town Lake to streamline access to its vast amounts of data, spanning over 100+ countries. This platform provides a single SQL interface to all of Cloudflare's data, ensuring consistency and accuracy in querying. Town Lake is built on R2 storage, Workers for compute, and Cloudflare Access for authentication, with a focus on security, governance, and scalability. Town Lake's architecture is a data lakehouse, combining query engines, metadata layers, and data cataloging to deliver fast and secure data access. Its components include a query engine powered by Apache Trino, a managed Apache Iceberg service for storage, a metadata catalog for data lineage and ownership, and an access control service for secure authentication. Built on top of Town Lake is Skipper, an AI data agent that runs on plain English queries to provide correct, auditable answers in seconds. Skipper aims to empower anyone at Cloudflare to access and analyze the stream of data flowing through their network

NetworkingSecurity
1 min
Stripe5d ago

Solo founding is at an all-time high: Top performers have these traits in common

Top solo founders launching through Stripe Atlas have distinct traits, including building AI-native products, selling globally from launch, focusing on business-to-business (B2B) markets, and retaining customers early on. These factors contribute to a nearly 20% increase in revenue at the top decile of solo-founded startups over a year, compared to a 23% decrease in median revenue. By two years, AI-native solo startups generate almost twice the revenue of other solo-founded startups.

PaymentsInfrastructure
1 min
Cloudflare6d ago

Iran's Internet is partially restored, Cloudflare Radar data shows

Cloudflare's Radar data shows a significant increase in internet activity and DNS queries in Iran, indicating a partial restoration of internet services in the country. The data, however, also suggests that the restoration is incomplete, with traffic levels still below pre-shutdown levels. IPv6 traffic remains affected, with a near-complete loss of announced IPv6 address space.

NetworkingSecurity
1 min
Stripe6d ago

Expanding Stripe Radar to protect more of your business

Here's a 3-sentence summary of the blog post: Stripe has expanded its AI-powered fraud prevention tool, Radar, to provide more comprehensive protection for businesses across various payment methods, including new signals to detect and prevent complex fraud types. Radar now offers global payment coverage, multiprocessor signals, and custom models to help businesses evaluate and mitigate merchant risk more effectively. The updated tool has already shown success in reducing suspected fraud by 71% for some businesses, and provides additional tools to fight disputes with smarter evidence and automated libraries.

PaymentsInfrastructure
1 min
Etsy6d ago

Shaping Product Understanding with Contrastive Reinforcement Learning

Etsy’s marketplace is defined by the creativity and craftsmanship of our sellers and the hundreds of millions of highly diverse products they offer. You can...

PlatformFrontend
10 min
Engineering7d ago

SilverTorch: Index as Model — A New Retrieval Paradigm for Recommendation Systems

Here's a 3-sentence summary of the SilverTorch engineering blog post: SilverTorch, a unified model-based system, improves recommendation quality and efficiency by integrating all retrieval components into a single neural network architecture called Index as Model. This design boosts throughput up to 23.7x and compute cost efficiency up to 20.9x compared to traditional multi-service approaches, while maintaining sub-100 millisecond latency. By expressing different microservices as model modules within a single neural network, SilverTorch enables joint optimization of filtering, search, and scoring operations, improving the quality of recommendations for platforms serving millions of users.

SocialScale
1 min
The8d ago

The Pulse: Forward deployed engineering heats up again

Google and other companies are intensifying their demand for forward deployed engineers (FDEs), who integrate AI systems into customers' services. Google Cloud is streamlining its FDE hiring process and hiring more FDEs for its new AI-focused organization, while OpenAI and Anthropic are outsourcing FDE hiring to separate companies. FDE roles are shifting from platform engineering to more client-focused, integrator-like positions.

CareerIndustry
1 min
Kiro11d ago

Test Driven Development (TDD) with Kiro: this is how it should feel

Engineers at the author's previous organization implemented unit testing to improve code quality, but struggled to consistently apply TDD due to its perceived time-consuming nature and context switching requirements. Kiro, an agentic development tool, supports spec-driven development and hooks to enable enforcement of specific practices like TDD. The author created a Kiro hook to automate the discipline of TDD, enforcing the red-green-refactor cycle by prompting to write failing tests before production code and writing minimal code to pass, then refactoring as needed. This hook runs each time Kiro attempts to save a file, ensuring the TDD process is followed, making TDD feel like a beneficial practice rather than a burden.

AIDevTools
1 min
Cloudflare12d ago

Announcing Claude Compliance API support with Cloudflare CASB

Cloudflare has extended its Cloud Access Security Broker (CASB) to support the Claude Compliance API, allowing security teams to monitor Claude usage directly in the Cloudflare dashboard without requiring endpoint agents. This integration builds on Cloudflare's existing AI governance support, delivering visibility and control over sanctioned and unsanctioned applications, including AI tools. By consuming Claude's security-relevant data, Cloudflare CASB surfaces actionable security findings, enabling organizations to regain visibility and control over their investments in SaaS applications, including Claude Enterprise activity.

NetworkingSecurity
1 min
Pinterest12d ago

Making User-Sequence Data More Cost-Efficient, Faster, and Easier to Use

Authors (listed alphabetically)Ads Feature Engineering Infra team: Ajay Venkatakrishnan, Le ZhangCore ML Infra team: Eric Shang, Pihui WeiML Data team: Connor...

Machine LearningData
14 min
Dropbox12d ago

Introducing Nova, our internal platform for coding agents

Dropbox built Nova, a platform for coding agents to assist engineers in various workflows, including development, remediation, and migration. Nova enables developers to run multiple coding sessions in parallel, supporting both interactive and background jobs, while maintaining consistent execution, validation, and context handling. The platform integrates with internal tools and workflows, such as Bazel and Slack, and provides features like prompt evaluation, observability, and feedback collection to improve agent performance.

InfrastructureScale
1 min