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Artificial Intelligence / Machine Learning · 5

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Embedded Systems · 5

Computer Systems · 5

Developer Tools / Open Source · 5

Cloud / Infrastructure · 5

Archived section

Artificial Intelligence / Machine Learning · 5

Artificial Intelligence / Machine Learning
arXiv9/29/2026
Recently

NeuronEye: Query-Guided Visual Concept Activation for Vision-Language Reasoning

Current vision-language models (VLMs) encode visual information in dense hidden states where object identity, spatial layout, and local attributes are implicitly entangled rather than explicitly disentangled, limiting their ability to isolate and modulate the specific visual evidence required by a given language query. Inspired by sparse population coding and top-down modulation in biological vision, we introduce NeuronEye, a plug-in framework that constructs a sparse, concept-level neuron vocabulary from intermediate VLM representations and selectively activates query-relevant visual concepts during inference. NeuronEye decomposes vision-token states into an overcomplete sparse basis organized by concept-level clusters, uses the language query to activate relevant clusters and localize the patches where selected concepts are expressed, and injects the focused evidence back into vision tokens. Authors: Ruiyu Yan, Bowen Chen, Shaowen Wan.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Current vision-language models (VLMs) encode visual information in dense hidden states where object identity, spatial layout, and local attributes are implicitly entangled rather than explicitly disentangled, limiting their ability to isolate and modulate the specific visual evidence required by a given language query.

Primary paperarxivcs.AI
Original
Artificial Intelligence / Machine Learning
arXiv9/28/2026
Recently

Guided Uncertainty-Aware Robust Domain Transfer

Artificial intelligence models deployed as clinical decision support tools often suffer substantial performance degradation over time and across institutions due to covariate shift, concept drift, and cross-system heterogeneity. Fully retraining complex models is frequently infeasible, particularly in EHR settings where labeled outcome data are scarce and regulatory constraints limit model modification. We propose GUARD (Guided and Uncertainty-Aware Robustness to Domain shift), a unified statistical framework for updating an existing deployed model using limited labeled target data and multiple heterogeneous source populations while guarding against future distributional shifts. Authors: Xin Xiong, Zijian Guo, Tianxi Cai.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Artificial intelligence models deployed as clinical decision support tools often suffer substantial performance degradation over time and across institutions due to covariate shift, concept drift, and cross-system heterogeneity.

Primary paperarxivstat.ME
Original
Artificial Intelligence / Machine Learning
arXiv9/28/2026
Recently

Transferable Mass Spectrum Prediction via Reference-Guided Test-time Specialization

Tandem mass spectrum prediction supports compound identification across metabolomics, natural-product discovery, and environmental analysis. However, pretrained predictors often degrade under shifts in chemical space and acquisition conditions, while retraining domain-specific models from scratch is costly. We introduce SPARC, a retrieval-guided test-time specialization framework that adapts a pretrained predictor using a spectral reference library without accessing test-query spectra. Authors: Yunhua Zhong, Runting Li, Yifan Li.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Tandem mass spectrum prediction supports compound identification across metabolomics, natural-product discovery, and environmental analysis.

Primary paperarxivcs.LG
Original
Artificial Intelligence / Machine Learning
Apple Machine Learning Research9/29/2026
Recently

SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation

Continual-learning agents are systems of models, harnesses, and memory operating over long multi-session horizons. Evaluating and training them requires interleaving tasks with agent-side events such as session stop and start, crons, and memory consolidation. Yet existing benchmarks and training frameworks schedule only the benchmark's own events, leaving each benchmark and agent pair to build a custom scheduling loop.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: Continual-learning agents are systems of models, harnesses, and memory operating over long multi-session horizons.

Official source
Original
Artificial Intelligence / Machine Learning
arXiv9/30/2026
Recently

Semifactual Credit-Augmented Policy Optimization

Reinforcement learning with verifiable rewards (RLVR) has improved the reasoning capabilities of large language models (LLMs), yet their predictions remain sensitive to task-irrelevant prompt features. We investigate this sensitivity through semifactual prompt interventions that preserve the underlying problem and its answer. Our analysis reveals substantial variation in token-level sensitivity and shows that suppressing high-drift token candidates during decoding improves reasoning accuracy without updating model weights. Authors: Junshu Pan, Zhizhang Fu, Shulin Huang.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Reinforcement learning with verifiable rewards (RLVR) has improved the reasoning capabilities of large language models (LLMs), yet their predictions remain sensitive to task-irrelevant prompt features.

Primary paperarxivcs.LG
Original

Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv9/30/2026
Recently

Skill-Based AI Agents for Power-System Studies

This paper describes a skill-based agentic framework for power-system studies using Model Context Protocol (MCP)-connected engineering tools. A custom MCP server was developed to expose Siemens PTI PSSE functions for power-flow analysis, dynamic simulation, result extraction, and model-validation workflows. Two implementation pathways built on a programmable OpenAI Agents software development kit (SDK) and a Claude Code command-line interface (CLI) were evaluated, both using reusable skills, subagents, MCP tools, data-repository connections, and local shell/Python execution. Authors: Pavel Etingov, Shuchismita Biswas.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: describes a skill-based agentic framework for power-system studies using Model Context Protocol (MCP)-connected engineering tools.

Primary paperarxiveess.SY
Original
Automation / Agentic Systems
arXiv9/30/2026
Recently

Cogentic: Multi-Agent Orchestration for Automated Proof Discovery

We present Cogentic, a multi-agent harness for automated proof discovery on open research problems. While frontier language models can generate strong mathematical ideas in a single shot, single-shot generation is often insufficient for open problems that require exploring multiple competing conjectures, overcoming subtle technical obstructions, and retaining intermediate progress over a long horizon. Cogentic addresses these challenges through an iterative prove--verify loop in which an orchestrator allocates a population of independent provers across distinct proof directions, subjects their output to adversarial verification by several specialized components, and promotes confirmed intermediate results into a persistent verified ledger that later rounds build on. Authors: Yang Cai, Vineet Gupta, Yanchen Jiang.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: We present Cogentic, a multi-agent harness for automated proof discovery on open research problems.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv9/30/2026
Recently

cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents

Computer use agents (CUAs), which use graphical user interfaces (GUIs) to complete tasks on a computer, have recently surpassed human performance on many standard benchmarks, including difficult long-horizon tasks. Their capabilities are undoubtedly impressive, however, a key barrier to the widespread adoption and deployment of CUAs remains their speed and cost. Progress towards faster yet capable CUAs requires reliable evaluation of their speed, but many CUA benchmarks currently face a reproducibility crisis. Authors: Pranjal Aggarwal, Lawrence Keunho Jang, Sean Welleck.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Computer use agents (CUAs), which use graphical user interfaces (GUIs) to complete tasks on a computer, have recently surpassed human performance on many standard benchmarks, including difficult long-horizon tasks.

Primary paperarxivcs.LG
Original
Automation / Agentic Systems
arXiv9/30/2026
Recently

How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?

Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Language Model (LLM) primitives, modern MLE agents are deployed on top of increasingly elaborate machinery: multi-agent orchestrators, dedicated retrieval subagents, and more. While such harnesses expand, the use of more primitive but improved coding agents - where LLMs have direct access to the execution environment through read, write, and bash primitives - has received little attention in the field. Authors: Kirill Brilliantov, Alejandro Hernández-Cano, Emmanuel Abbé.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv9/30/2026
Recently

WorldAuditBench: Interactive 3D World Auditing with Multimodal Agents

As interactive 3D worlds are increasingly used to study intelligent behavior, it becomes important to develop efficient pipelines for identifying anomalies in these simulated environments, such as floating objects, traversable walls, or objects inconsistent with the surrounding scene. Multimodal AI systems, including vision-language models (VLMs) and vision-language-action models (VLAs), have shown potential for automating this task. However, 3D world auditing is complex, requiring the close coupling of two distinct capabilities: action, to navigate the 3D world and search for anomalies systematically and efficiently; and visual reasoning, to understand the environment and identify anomalies from multimodal observations. Authors: Ziyan Jiang, Jingbo Yang, Jiabao Ji.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: As interactive 3D worlds are increasingly used to study intelligent behavior, it becomes important to develop efficient pipelines for identifying anomalies in these simulated environments, such as floating objects, traversable walls, or objects inconsistent with the surrounding scene.

Primary paperarxivcs.AI
Original

Archived section

Research Papers · 5

Research Papers
arXiv9/30/2026
Recently

Exponential quantum speedup for \mathbbF_3^n-Subset-Sum? Or, rigorous classical algorithms for Binary-Error LWE

We study vector subset sum over \mathbbF_3^n: given m random vectors from \mathbbF_3^n, find a nonempty subset that sums to zero; the smaller m, the more difficult it is to find such a subset. Chen, Liu, and Zhandry (EUROCRYPT'22) introduced an efficient quantum algorithm that solves this problem when m\approx n^2/2, where a naive classical algorithm would require exponential time. Subsequently, Kothari, O'Donnell, and Wu (STOC'2026) gave an efficient classical algorithm that only requires m \approx n^2/3 vectors, thus removing the hope for an exponential quantum advantage in this parameter regime. Authors: Robin Kothari, Tony Metger, Ryan O'Donnell.

Why it matters

Read this for the paper's specific claim in Research Papers: We study vector subset sum over \mathbbF_3^n: given m random vectors from \mathbbF_3^n, find a nonempty subset that sums to zero; the smaller m, the more difficult it is to find such a subset.

Primary paperarxivquant-ph
Original
Research Papers
arXiv9/30/2026
Recently

Need for Coherent Access in Constructing Quantum Cryptography

We construct quantum oracles relative to which quantum-secure one-way functions (OWFs) exist but pseudorandom states (PRSs) with superlogarithmic output length do not. At first glance, this appears to contradict the known black-box constructions of PRS generators from quantum-secure OWFs. The distinction lies in the access model to the oracles; our oracle separation uses classical-accessible random oracles that can be accessed only classically even by quantum algorithms. Authors: Minki Hhan, Changhun Oh, Vaughn Sohn.

Why it matters

Read this for the paper's specific claim in Research Papers: We construct quantum oracles relative to which quantum-secure one-way functions (OWFs) exist but pseudorandom states (PRSs) with superlogarithmic output length do not.

Primary paperarxivquant-ph
Original
Research Papers
arXiv9/30/2026
Recently

Query-Limited RAM Programs and their Applications

Quantum one-time programs (Broadbent, Gutoski and Stebila, CRYPTO 2013) or OTPs for short, enable a functionality to be encoded into a quantum token that can be evaluated on a single chosen input and then becomes unusable. While powerful, this primitive is inherently stateless and tied to a setting in which a quantum token needs to be issued and distributed for every single evaluation of a circuit. This raises a natural question: can the one-time computation paradigm be extended to richer, stateful forms of controlled access, and would such an extension offer inherent advantages beyond standard OTPs? Authors: Jiahui Liu, Justin Raizes, Bhaskar Roberts.

Why it matters

Read this for the paper's specific claim in Research Papers: Quantum one-time programs (Broadbent, Gutoski and Stebila, CRYPTO 2013) or OTPs for short, enable a functionality to be encoded into a quantum token that can be evaluated on a single chosen input and then becomes unusable.

Primary paperarxivquant-ph
Original
Research Papers
arXiv9/29/2026
Recently

Classical Verification of Quantum Computation with Quasilinear Resources, from Compiled Nonlocal Games

Computational self-testing gives a classical verifier command over the quantum register of a single computationally bounded prover. We use this framework to construct the first argument system for BQP with quasilinear total resource requirements in the circuit model. Our argument system is based on the learning with errors (LWE) assumption and requires total resources of O(poly(λ, \log g)* g) for delegating a circuit with g gates, where λ is the LWE security parameter. Authors: Finn Holler, Anand Natarajan.

Why it matters

Read this for the paper's specific claim in Research Papers: Computational self-testing gives a classical verifier command over the quantum register of a single computationally bounded prover.

Primary paperarxivquant-ph
Original
Research Papers
arXiv9/30/2026
Recently

Verifiable Quantum Advantage and Computation via Quantum Circuit Obfuscation

We construct protocols for classically verifiable quantum advantage and classical verification of \mathsfBQP computations using quantum indistinguishability obfuscation (qiO). Specifically, given qiO and assuming a slightly stronger version of \mathsfBQP\neq\mathsfBPP, we construct a two-message quantum-advantage protocol that is efficiently and publicly verifiable. 14493). Authors: Alexandru Gheorghiu, Aparna Gupte, Vojtěch Havlíček.

Why it matters

Read this for the paper's specific claim in Research Papers: We construct protocols for classically verifiable quantum advantage and classical verification of \mathsfBQP computations using quantum indistinguishability obfuscation (qiO).

Primary paperarxivquant-ph
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv9/30/2026
Recently

Ego4WAM: What Matters When Scaling Egocentric Human Data for Robot Learning?

Egocentric human data provides a scalable source of experience for robot learning, but varies substantially in human-robot alignment, behavioral coverage, and available supervision. Existing work shows favorable scaling with increasing human data, but it remains unclear which data properties drive downstream robot gains and how to use such data throughout the training pipeline. We present a systematic study of egocentric human data with different alignment and supervision under a unified world-action model framework. Authors: Zhihao Sun, Liu Liu, Xinjiang Wang.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Egocentric human data provides a scalable source of experience for robot learning, but varies substantially in human-robot alignment, behavioral coverage, and available supervision.

Primary paperarxivcs.RO
Original
Embedded Systems
Hackster.io10/1/2026
Recently

Efinix Goes 64-Bit with Its Latest Sapphire SoC FPGA Cores, Based on the RISC-V Architecture

Field-programmable gate array (FPGA) specialist Efinix has announced the expansion of its Sapphire system-on-chip family to 64 bits, adding a new RISC-V processor core option with, it says, improved efficiency and performance over its existing 32-bit equivalent. "Customers building increasingly sophisticated embedded and edge AI [Artificial Intelligence] systems have been asking us for a path to 64-bit processing without giving up the low power and configurability that made Sapphire successful," clkaims Efinix vice-president Mark Oliver of the company's latest launch. " Efinix's existing Sapphire family has focused on 32-bit implementations of the free and open RISC-V instruction set architecture, offering options from microcontroller-class cores designed with minimum resource usage in mind up to high-performance application-class cores.

Why it matters

Read this for the engineering context in Embedded Systems: Field-programmable gate array (FPGA) specialist Efinix has announced the expansion of its Sapphire system-on-chip family to 64 bits, adding a new RISC-V processor core option with, it says, improved efficiency and performance over its existing 32-bit equivalent.

Trusted source
Original
Embedded Systems
arXiv9/30/2026
Recently

Social-WM: Safety-Aware Latent World Models for Robot Social Navigation

Safe social navigation requires a robot to anticipate not only the future consequences of its actions, but also whether a nominal action can actually be executed under surrounding physical and social constraints. We present Social-WM, an efficient latent world-model planning framework trained from egocentric RGB video sequences. Our key observation is that social-navigation experience contains a systematic discrepancy between the nominal action and the realizable action: a nominal forward action may be fully executed in free space, but needs to be constrained when heading towards a pedestrian or obstacle. Authors: Zhihao Zheng, Mooi Choo Chuah.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Safe social navigation requires a robot to anticipate not only the future consequences of its actions, but also whether a nominal action can actually be executed under surrounding physical and social constraints.

Primary paperarxivcs.RO
Original
Embedded Systems
Hackaday10/1/2026
Recently

The Whole Computer Is Vim

Love it or hate it, Vim, the vi-compatible minimalist editor, is a common denominator between a huge array of operating systems.

Why it matters

Read this for the engineering context in Embedded Systems: Love it or hate it, Vim, the vi-compatible minimalist editor, is a common denominator between a huge array of operating systems.

Trusted sourceSoftware HacksESP32
Original
Embedded Systems
Hackster.io9/29/2026
Recently

This DIY Robot Can See and React to the World Around It

There are plenty of little desktop robots that can wave, make noises, and show cute animations, but JBR-001 is built to do a lot more. Powered by an Arduino UNO Q, the open source robot combines three servos, a camera, distance sensing, sound, and an animated display into a small platform for experimenting with robotics and computer vision. It can even run vision models that let it recognize objects sitting in front of it and respond with its own combination of movements, sounds, and animations.

Why it matters

Read this for the engineering context in Embedded Systems: There are plenty of little desktop robots that can wave, make noises, and show cute animations, but JBR-001 is built to do a lot more.

Trusted source
Original

Archived section

Computer Systems · 5

Computer Systems
arXiv9/30/2026
Recently

Herschel: Continuous Optimization of Production LLM Inference through On-Demand Profiling

Model-as-a-service platforms call for continuous optimization as complex serving conditions expose inefficiencies missed before deployment. Detailed always-on profiling can incur substantial overhead, while lightweight collection omits information needed for diagnosis. We present Herschel, a continuous optimization system for production large language model (LLM) inference. Authors: Luping Wang, Weigao Chen, Yifei Wu.

Why it matters

Read this for the paper's specific claim in Computer Systems: Model-as-a-service platforms call for continuous optimization as complex serving conditions expose inefficiencies missed before deployment.

Primary paperarxivcs.OS
Original
Computer Systems
arXiv9/30/2026
Recently

Reinforcement Learning-Guided Graph Transformations for SpTRSV Optimization

Sparse triangular solve (SpTRSV) is a fundamental kernel in numerous scientific and engineering applications. However, the data dependencies inherent in sparse triangular matrices significantly limit the available parallelism and make efficient workload distribution challenging. Recent graph transformation techniques address these limitations by modifying the dependency graph of the input matrix to improve parallel execution. Authors: Buse Yılmaz.

Why it matters

Read this for the paper's specific claim in Computer Systems: Sparse triangular solve (SpTRSV) is a fundamental kernel in numerous scientific and engineering applications.

Primary paperarxivcs.DC
Original
Computer Systems
AWS Architecture Blog9/29/2026
Recently

Build adaptive AI interfaces with the AG-UI protocol, agent swarms, and Nova Act on AWS

Learn how to build AI interfaces that automatically adapt to your agents' variable outputs, using the AG-UI protocol for dynamic UI generation, the Strands Agents SDK swarm pattern for explainable multi-agent collaboration, and Amazon Nova Act to integrate legacy systems that lack APIs.

Why it matters

Read this for the official technical update in Computer Systems: Learn how to build AI interfaces that automatically adapt to your agents' variable outputs, using the AG-UI protocol for dynamic UI generation, the Strands Agents SDK swarm pattern for explainable multi-agent collaboration, and Amazon Nova Act to integrate legacy systems that lack APIs.

Official sourceAmazon BedrockAmazon Nova
Original
Computer Systems
arXiv9/28/2026
Recently

Beneath the Tokens: A Performance Engineering Study of Multi-Token Prediction in GPU-Accelerated LLM Inference

Autoregressive large language model inference repeatedly invokes the target model to generate one token at a time, making generation sensitive to GPU memory movement and sequential execution. This study evaluates two-token multi-token prediction (MTP) against autoregressive decoding in a controlled single-request deployment on an NVIDIA A10G GPU. A 360-request benchmark covered plain-text, reasoning-intensive, and tool-calling workloads, while runtime telemetry, Nsight Systems, PyTorch Profiler, and selected Nsight Compute measurements were used to explain the observed performance. Authors: Suwesh Prasad Sah.

Why it matters

Read this for the paper's specific claim in Computer Systems: Autoregressive large language model inference repeatedly invokes the target model to generate one token at a time, making generation sensitive to GPU memory movement and sequential execution.

Primary paperarxivcs.AI
Original
Computer Systems
arXiv9/28/2026
Recently

E3J: An Efficient and Open-Source Backend for Euclidean Equivariant Operations on GPU and TPU

We present e3j, a fast Euclid-equivariance backend for geometric deep learning applications with JAX bindings for GPU and TPU. Leveraging both optimized CUDA and Pallas kernels and algorithmic improvements, the library achieves state-of-the-art throughput and runtime on both forward and backward paths. On a machine learning interatomic potential (MLIP) use case, it outperforms established backends, measuring up to 34% speed-up over cuEquivariance on water box NPT simulation using MACE, while remaining fully open source. Authors: Olivier Peltre, Armand Picard, Adrien Pichard.

Why it matters

Read this for the paper's specific claim in Computer Systems: We present e3j, a fast Euclid-equivariance backend for geometric deep learning applications with JAX bindings for GPU and TPU.

Primary paperarxivcs.LG
Original

Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
AWS Compute Blog9/29/2026
Recently

Simplify AMI discovery with Amazon EC2 and SSM Parameter Store

Managing Amazon EC2 AMIs at scale means constantly mapping AMI IDs to their AWS Systems Manager parameter paths by hand. A recent enhancement to the DescribeImages API returns the associated SSM parameter directly. This post shows how to use it across the AWS CLI, AWS CloudFormation, Terraform, and Auto Scaling launch templates.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Managing Amazon EC2 AMIs at scale means constantly mapping AMI IDs to their AWS Systems Manager parameter paths by hand.

Official sourceAmazon EC2Intermediate (200)
Original
Developer Tools / Open Source
Vercel Blog9/30/2026
Recently

AI Gateway adds Browserbase Search and Fetch tools

are now available through. Browserbase Search and FetchAI Gateway AI Gateway lets you use Browserbase's tools across model providers with one API key. Add web search and page retrieval to any model that supports tool calling, and keep the same tools when you switch models.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Browserbase Search and FetchAI Gateway AI Gateway lets you use Browserbase's tools across model providers with one API key.

Official source
Original
Developer Tools / Open Source
Vercel Blog9/29/2026
Recently

Vercel Connect now accepts service submissions

Vercel Connectconnectors directory Submitting a service takes four steps: Vercel reviews each submission before publishing it to the directory. Submit a Servicedocumentation Read more Describe your service. Add one or more connection methods, using OAuth or an API key.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Vercel Connectconnectors directory Submitting a service takes four steps: Vercel reviews each submission before publishing it to the directory.

Official source
Original
Developer Tools / Open Source
OpenAI Blog9/29/2026
Recently

Introducing GPT-6.1 Sol

1 Sol: near-Astra intelligence for coding, computer use, and professional work at one-fifth of Astra's standard API input and output token prices.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: 1 Sol: near-Astra intelligence for coding, computer use, and professional work at one-fifth of Astra's standard API input and output token prices.

Official sourceProduct
Original
Developer Tools / Open Source
LWN.net9/28/2026
Recently

Git v2.56.0 released

56 of the Git distributed version-control system has been released. 55 was released back in June; those commits came from 104 developers, 39 of whom are first-time contributors. New features include a safer workflow for conflict resolution, smaller path-walk repacks, a new git history drop sub-command, and much more.

Why it matters

Read this for the concrete reporting in Developer Tools / Open Source: 56 of the Git distributed version-control system has been released.

Trusted source
Original

Archived section

Cloud / Infrastructure · 5

Cloud / Infrastructure
AWS Architecture Blog9/30/2026
Recently

Running multi-day AZ evacuation drills with ARC Zonal Shift

Prove your multi-AZ architecture can sustain a real impairment. This post shows how to run a multi-day (48-72 hour) Availability Zone evacuation drill with ARC Zonal Shift across Amazon ECS, Amazon EKS, Amazon RDS for PostgreSQL, and Amazon Aurora PostgreSQL, with step-by-step CLI commands, prerequisites, observability metrics, and restore procedures.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Prove your multi-AZ architecture can sustain a real impairment.

Official sourceAdvanced (300)Amazon Application Recovery Controller (ARC)
Original
Cloud / Infrastructure
Cloudflare Blog9/30/2026
Recently

Detect and send production issues straight to your agent

You can now use built-in error monitoring in Cloudflare Workers to group production failures and send stack traces, logs, traces, and application context directly to a coding agent to investigate further and open a pull request.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: You can now use built-in error monitoring in Cloudflare Workers to group production failures and send stack traces, logs, traces, and application context directly to a coding agent to investigate further and open a pull request.

Official sourceBetaBirthday Week
Original
Cloud / Infrastructure
Cloudflare Blog9/29/2026
Recently

Using AI to chart a course for our post-quantum migration

We're building CryptoLabe, an internal AI-powered tool that discovers cryptography across our codebase, surfaces dependencies, and helps us progress toward a full post-quantum migration by 2029. Here's what we've learned so far.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: We're building CryptoLabe, an internal AI-powered tool that discovers cryptography across our codebase, surfaces dependencies, and helps us progress toward a full post-quantum migration by 2029.

Official sourceAIBirthday Week
Original
Cloud / Infrastructure
Cloudflare Blog9/28/2026
Recently

Introducing cf: the agentic CLI for the entire Cloudflare API

We are releasing cf, our new command-line tool that mirrors the entire Cloudflare API and supports programmatic TypeScript configuration. We are also open-sourcing Forge, our internal SDK generator.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: We are releasing cf, our new command-line tool that mirrors the entire Cloudflare API and supports programmatic TypeScript configuration.

Official sourceAgentsAPI
Original
Cloud / Infrastructure
AWS Blog9/30/2026
Recently

Amazon S3 Tables now support all Apache Iceberg V3 data types

Amazon S3 Tables now support all data types in the Apache Iceberg V3 spec, along with column default values, deletion vectors, and row lineage. Upgrade existing V2 tables or create new V3 tables with built-in compaction, maintenance, and engine compatibility.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Amazon S3 Tables now support all data types in the Apache Iceberg V3 spec, along with column default values, deletion vectors, and row lineage.

Official sourceAmazon S3 TablesAmazon Simple Storage Service (S3)
Original