Total Articles: 15 from 6 sources
Cloudflare Engineering
1. Continuous accountability for Verified bots
URL: https://blog.cloudflare.com/verified-bots-accountability/
Published: 2026-10-16 13:00
Summary:
Identity alone doesn’t guarantee a bot will behave responsibly We are introducing a system to continuously evaluate whether Verified bots honor site preferences, like robots.txt and HTTP 429s, ensuring they remain accountable over time.
2. A fully programmable secure web gateway
URL: https://blog.cloudflare.com/programmable-gateway-dlp/
Published: 2026-10-15 17:11
Summary:
Cloudflare Gateway and Data Loss Prevention have inherited the flexibility and power of Cloudflare Workers through our full-stack integration with the Cloudflare Developer platform.
3. Deploy with Void
URL: https://blog.cloudflare.com/deploy-with-void/
Published: 2026-10-15 14:00
Summary:
Introducing Void: an open-source SDK, CLI, and self-hosted platform for building full-stack Vite apps and deploying them to Cloudflare.
GitHub Blog
1. The next developer interface is ambient intelligence
URL: https://github.blog/news-insights/company-news/the-next-developer-interface-is-ambient-intelligence/
Published: 2026-10-15 19:39
Summary:
AI, agents, voice, and physical controls are shifting software development from operating tools to expressing intent—and helping developers stay focused on building The post The next developer interface is ambient intelligence appeared first on The GitHub Blog.
2. Staying Evergreen: How we automated secure access and repo hygiene in a shared org
Published: 2026-10-15 18:00
Summary:
Put native GitHub features to work to review outside collaborator access and archive stale repositories The post Staying Evergreen: How we automated secure access and repo hygiene in a shared org appeared first on The GitHub Blog.
Google Developers
1. Evaluating AI agents: moving past the vibe check
URL: https://developers.googleblog.com/evaluating-ai-agents-moving-past-the-vibe-check/
Published: 2026-10-16 13:43
Summary:
A practical engineering guide and reference architecture for establishing continuous evaluation pipelines for multi-turn AI agents using Gemini Enterprise Agent Platform, Google ADK, and OpenInference standards.
2. Three layers, one repo: a tour of google/adk-recipes
URL: https://developers.googleblog.com/three-layers-one-repo-a-tour-of-googleadk-recipes/
Published: 2026-10-16 13:43
Summary:
The google/adk-recipes repository unifies Agent Development Kit (ADK) resources into three structured layers—core/, plugins/, and contrib/—serving as a single source of truth for building AI agents Developers can leverage reference patterns, install modular vertical skills (such as retail product search and virtual try-on) directly into their coding assistants, and deploy production-ready services across multiple languages This cohesive structure streamlines the entire workflow from initial scaffolding to full deployment on Google Cloud infrastructure.
3. Announcing DPoP Support for Google OAuth: Securing Refresh Tokens
URL: https://developers.googleblog.com/announcing-dpop-support-for-google-oauth-securing-refresh-tokens/
Published: 2026-10-16 13:43
Summary:
Google OAuth Platform now supports DPoP (Demonstrating Proof-of-Possession) to sender-constrain refresh tokens, neutralizing Infostealer malware and adversary-in-the-middle attacks By cryptographically binding long-lived refresh tokens while maintaining short-lived access tokens as standard Bearer tokens, developers achieve robust credential security without incurring high-QPS API performance overhead Additionally, developers integrating multi-agent or Model Context Protocol (MCP) workloads can use Google Cloud Secure Token Service (STS) to handle secure token delegation across agent chains.
Meta Engineering
1. How Meta Built Forum With AI-Native Engineering
URL: https://engineering.fb.com/2026/10/15/ml-applications/how-meta-built-forum-ai-native-engineering/
Published: 2026-10-15 19:00
Summary:
To build Forum, Meta engineers adopted a whole new way of working by bringing an AI agent into the development cycle We’re sharing insights into what it took to build Forum with agentic AI: how we […] Read More The post How Meta Built Forum With AI-Native Engineering appeared first on Engineering at Meta.
2. 2026 World Cup: Breaking Records, Spiky Charts and Reliability at Scale
Published: 2026-10-15 18:30
Summary:
Every four years, the World Cup becomes the largest planned stress test of our infrastructure There are a few moments throughout the year, like New Years Eve, that really let us see the collective impact of everything we’ve built — but none are bigger than the quadrennial […] Read More The post 2026 World Cup: Breaking Records, Spiky Charts and Reliability at Scale appeared first on Engineering at Meta.
3. Sapienz Receives ISSTA 2026 Impact Paper Award
URL: https://engineering.fb.com/2026/10/15/developer-tools/sapienz-issta-2026-impact-paper-award-meta/
Published: 2026-10-15 16:00
Summary:
Ke Mao, Mark Harman, and Yue Jia have been recognized with the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2026 Most Influential Paper Award for their 2016 research, “Sapienz: multi-objective automated testing for Android applications.” The recognition celebrates a decade of impact from work that began at University College London and went […] Read More The post Sapienz Receives ISSTA 2026 Impact Paper Award appeared first on Engineering at Meta.
Netflix TechBlog
1. TimeSeries Tiered Storage Journey: Kafka/Flink Streams to Native Cassandra Cold Reads
Published: 2026-10-14 19:56
Summary:
The users still use the same query interface:TimeSeries Tiered Storage Read PathThe Cold Tier Data Plane uses compaction metadata for aggressive planning and pruning, which dramatically reduces the S3 query fan-out The idea for tiering is simple:Read directly from these S3 backups instead of paying a separate data transfer cost to S3.Once TimeSeries marks a hot Time Slice as ready for cold storage, we can customize Cassandra to read directly from its backups, allowing us to delete the on-disk data copy As of Cassandra 4.1, we can leverage pluggable Memtables to redirect reads from “cold” tables directly to the backup storage in S3.— create table for a given Time SliceCREATE TABLE data_20260616_00_04 ( … …, PRIMARY KEY ((time_series_id, time_bucket, event_bucket), event_time, event_id, key)) WITH CLUSTERING ORDER BY (event_time DESC, event_id DESC, key DESC)
2. Behind the Scenes: Evolving Netflix’s Ads Event Pipeline for Live — Part II
Published: 2026-10-14 19:51
Summary:
The heart of the job: we match each client event to the ad-serving response for the same impression, enriching it with the full serving context using a KeyedCoProcessFunctionDeduplicate We extract measurement beacons for our partners and route the enriched ad event to its downstream consumers.The ad server logs responses to Kafka rather than writing to a registry; the Flink job joins responses with client events in real time and routes enriched ad events downstream.The join is the interesting part We encode the serving region into the ad token, so when a client event arrives in the wrong region, we forward it to the region that owns its response
3. Netflix Conductor: The Next Chapter
Published: 2026-10-14 19:50
Summary:
You stand it up, keep it running, and scale it, even for work that’s bursty or runs rarely.So Conductor added managed tasks: built-in task types where Conductor drives the compute directly, with no long-lived worker for you to host or scale Stratum is the serverless function layer of Netflix’s Cosmos platform, purpose-built for media-processing workloads, and a Conductor STRATUM task is the natural way to call one from a workflow That’s a polling problem, and at scale it has its own failure mode, one that showed up most sharply for Studio Orchestrator, the heavy Conductor user behind the Media Production Suite pipelines from earlier in this post.Conductor clients poll for work using worker threads, and historically the number of threads was fixed per task type
Stripe Engineering
1. Sync real-time Stripe data to Postgres with Stripe Data Pipeline
URL: https://stripe.com/blog/real-time-stripe-data-postgres
Published: 2026-10-15 00:00
Summary:
Applications rely on current Stripe data to fulfill orders, update customer accounts, and manage access to paid features Until now, developers have had to build and maintain custom integrations to keep application databases in sync with Stripe We’re introducing real-time sync to Postgres for Stripe Data Pipeline, which lets them keep databases current without having to build custom integrations.
Generated on 2026-10-16 13:43:44