Total Articles: 6 from 4 sources
Cloudflare Engineering
1. Cloudflare DDoS Threat Report 2026 Q3: More swarms, fewer giants
URL: https://blog.cloudflare.com/ddos-threat-report-2026-q3/
Published: 2026-10-29 12:55
Summary:
Cloudflare mitigated over 8,200 DDoS attacks per hour in Q3 2026 as attackers shifted to shorter, high-frequency strikes Explore the latest threat data, including the collapse of CLDAP vectors and the impact of recent botnet takedowns.
GitHub Blog
1. GitHub Universe 2026: Evolving every layer of the stack
Published: 2026-10-28 16:09
Summary:
Today, we laid out our vision for GitHub as the most comprehensive, end-to-end software delivery system in the world The post GitHub Universe 2026: Evolving every layer of the stack appeared first on The GitHub Blog.
2. Octoverse: Commits, pushes, reach new highs in 2026 as developers build with agents
Published: 2026-10-28 16:07
Summary:
See how a record year of growth reached every industry, every field, and every kind of builder in the 2026 Octoverse report The post Octoverse: Commits, pushes, reach new highs in 2026 as developers build with agents appeared first on The GitHub Blog.
Google Developers
1. Smaller apps and faster GPU inference with LiteRT in Google Play services
Published: 2026-10-29 15:49
Summary:
LiteRT in Google Play services now offers GPU inference powered by ML Drift, delivering about 1.4x faster performance alongside the new CompiledModel API Switching from bundled binaries reduces app size by approximately 8 MB while enabling seamless, automatic runtime updates across billions of devices Developers can easily adopt these updates by updating their dependencies and utilizing the new Android Studio LiteRT skill for automated migration.
2. Hill-Climbing Agent Quality with Agents CLI Evaluation
URL: https://developers.googleblog.com/hill-climbing-agent-quality-with-agents-cli-evaluation/
Published: 2026-10-29 15:49
Summary:
This post walks through the Agents CLI evaluation loop for systematically improving agent performance through continuous testing and grading It demonstrates how to catch prompt regressions, evaluate model backend swaps using side-by-side trace comparisons, and automate evaluation passes Developers will also learn how to integrate nightly scheduled runs with threshold-based alerting to track quality over time.
Meta Engineering
1. Meta Andromeda: Powering the Next Generation of Ads Retrieval Through Model-System Co-Design
Published: 2026-10-28 16:00
Summary:
This post describes the next generation of Meta Andromeda, Meta’s personalized ads retrieval engine, and how co-designing the model, system, and GPU hardware unlocks a new efficiency frontier for ads retrieval In production, the system scores every eligible ad with near ranking-level model performance at retrieval scale and surfaces the top candidates at over one […] Read More The post Meta Andromeda: Powering the Next Generation of Ads Retrieval Through Model-System Co-Design appeared first on Engineering at Meta.
Generated on 2026-10-29 15:49:34