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Artificial Intelligence / Machine Learning · 5

Automation / Agentic Systems · 5

Research Papers · 5

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
arXiv8/6/2026
Recently

Challenges in Evaluating Explanation Methods for Static and Evolving Data

This paper addresses the limitations of Explainable Artificial Intelligence (XAI) with respect to insufficient evaluation. They are illustrated through the DetoxAI image recognition system for bias detection and concept unlearning. Then, an example of a human-grounded evaluation of methods for explaining image classification is presented. Authors: Jerzy Stefanowski.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: addresses the limitations of Explainable Artificial Intelligence (XAI) with respect to insufficient evaluation.

Primary paperarxivcs.AI
Original
Artificial Intelligence / Machine Learning
arXiv8/5/2026
Recently

Item Response Theory for AI Safety

Language models differ in how safely they behave and these differences are measured by safety benchmarks. But aggregated benchmark scores are hard to trust and interpret, because benchmarks duplicate one another, correlate heavily, and models may sandbag when they detect evaluation. To address these issues, we draw on Item Response Theory (IRT), a statistical toolkit for measuring these latents from performance on items with inferred psychometric properties. Authors: Joshua Fonseca Rivera, Neil Shah, David Demitri Africa.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Language models differ in how safely they behave and these differences are measured by safety benchmarks.

Primary paperarxivcs.AI
Original
Artificial Intelligence / Machine Learning
arXiv8/4/2026
Recently

DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM Reranking for ADHD Symptom Sentences

This paper describes our submissions to eRisk 2026 Task 3, ADHD Symptom Sentence Ranking. 1). Because no annotated training data were released for this first edition of the task, we relied on zero-shot experimentation, manual validation, and unsupervised or weakly guided retrieval pipelines. Authors: David Guecha.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: describes our submissions to eRisk 2026 Task 3, ADHD Symptom Sentence Ranking.

Primary paperarxivcs.CL
Original
Artificial Intelligence / Machine Learning
Apple Machine Learning Research8/5/2026
Recently

DeepAmbigQA: Ambiguous Multi-hop Questions for Benchmarking LLM Answer Completeness

", which requires (1) distinguishing between multiple films sharing the same title and (2) reasoning across a large set of actors to gather and integrate evidence. Existing QA benchmarks rarely evaluate both challenges jointly.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: ", which requires (1) distinguishing between multiple films sharing the same title and (2) reasoning across a large set of actors to gather and integrate evidence.

Official source
Original
Artificial Intelligence / Machine Learning
OpenAI Blog8/4/2026
Recently

Third-party cyber evaluations involving OpenAI models

OpenAI explains recent third-party cybersecurity evaluation incidents and outlines new safeguards to strengthen AI model testing and evaluation.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: OpenAI explains recent third-party cybersecurity evaluation incidents and outlines new safeguards to strengthen AI model testing and evaluation.

Official source
Original

Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv8/6/2026
Recently

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization

As LLMs are increasingly deployed within agentic systems, their capabilities depend not only on the model weights but also on the harness: the prompts, tools, control flow, memory, and orchestration code surrounding them. This makes automated harness optimization -- the iterative and evaluation-guided improvement of a harness by an AI system -- both an important route to improving AI systems and a demanding capability for AI systems themselves. Yet the community lacks a common protocol for measuring how well frontier LLMs perform at this task. Authors: Varun Ursekar, Apaar Shanker, Yash Maurya.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: As LLMs are increasingly deployed within agentic systems, their capabilities depend not only on the model weights but also on the harness: the prompts, tools, control flow, memory, and orchestration code surrounding them.

Primary paperarxivcs.AI
Original
Automation / Agentic Systems
arXiv8/6/2026
Recently

The Bitter Lesson of Tool Calling

Tool use transforms LLMs into agents that act beyond their training data, and for code-capable models, programmatic tool calling extends this further by replacing rigid JSON calls with scripts that chain and parallelize naturally. However, a systematic evaluation of tools as code on an established benchmark across current and prior model generations under real-world task conditions has not been conducted. In this work, we empirically compare programmatic tool calling (PTC) to native JSON tool calling across 14 language models on BFCL v4. Authors: Ishan Patel, Sahil Sen, Elias Lumer.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Tool use transforms LLMs into agents that act beyond their training data, and for code-capable models, programmatic tool calling extends this further by replacing rigid JSON calls with scripts that chain and parallelize naturally.

Primary paperarxivcs.CL
Original
Automation / Agentic Systems
arXiv8/6/2026
Recently

AV-AIVAT: 74x Cheaper Agent Evaluation with Certified Anytime-Valid Stopping in Imperfect-Information Games

Deciding which of two agents is stronger means playing games until skill outweighs luck, and every game costs money, model inference, or expert time. Since the number of games needed is unknown, fixed-budget evaluations either keep paying after the result is settled or stop before the agents can be told apart, while naive optional stopping with an ordinary confidence interval invalidates the stated level. We make such an evaluation stop as soon as its evidence suffices, with the guarantee intact. Authors: Boning Li, Yu Chen, Longbo Huang.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Deciding which of two agents is stronger means playing games until skill outweighs luck, and every game costs money, model inference, or expert time.

Primary paperarxivcs.GT
Original
Automation / Agentic Systems
GitHub Blog8/6/2026
Recently

A guide to slash commands in the GitHub Copilot app

Go beyond chat in the GitHub Copilot app with these slash commands. They'll help you plan, collaborate, automate, and customize your dev workflow. The post A guide to slash commands in the GitHub Copilot app appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Automation / Agentic Systems: Go beyond chat in the GitHub Copilot app with these slash commands.

Official sourceAI & MLGitHub Copilot
Original
Automation / Agentic Systems
GitHub Blog8/4/2026
Recently

How the GitHub legal team used Copilot CLI to streamline their workflows

Learn how to build tools to simplify how you work—without writing a single line of code. The post How the GitHub legal team used Copilot CLI to streamline their workflows appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Automation / Agentic Systems: Learn how to build tools to simplify how you work—without writing a single line of code.

Official sourceAI & MLGitHub Copilot
Original

Archived section

Research Papers · 5

Research Papers
arXiv8/6/2026
Recently

A Sound Translation from Tamarin to ProVerif: Enabling Comparative Analysis

Tamarin and ProVerif are two prominent tools for the formal verification of security protocols. They share the same high-level goal but differ significantly in their underlying formalisms and verification techniques, making a systematic comparison challenging: Tamarin uses multiset rewrite rules with sound and complete verification, whereas ProVerif employs an extension of the applied-pi calculus that provides fast but potentially incomplete results. We present a sound translation from Tamarin to ProVerif that enables a rigorous comparison of the two tools. Authors: Kevin Morio, Yavor Ivanov, Robert Künnemann.

Why it matters

Read this for the paper's specific claim in Research Papers: Tamarin and ProVerif are two prominent tools for the formal verification of security protocols.

Primary paperarxivcs.CR
Original
Research Papers
arXiv8/5/2026
Recently

Towards Decentralized Searcher Competition in MEV Markets

Centralization in maximal extractable value (MEV) markets is a significant concern for blockchain systems, as persistent concentration of economic power can weaken competition, reduce openness, and undermine the decentralization goals of permissionless protocols. While much of the existing analysis has focused on builders, validators, and block-building markets, this paper studies centralization from the perspective of searcher competition. We develop a heterogeneous model in which searchers differ in opportunity coverage and execution efficiency, and we analyze how auction design affects fairness, decentralization, and security among searchers competing for the same MEV opportunity. Authors: Roozbeh Sarenche, Yunwen Liu.

Why it matters

Read this for the paper's specific claim in Research Papers: Centralization in maximal extractable value (MEV) markets is a significant concern for blockchain systems, as persistent concentration of economic power can weaken competition, reduce openness, and undermine the decentralization goals of permissionless protocols.

Primary paperarxivcs.GT
Original
Research Papers
arXiv8/5/2026
Recently

DeepConnect: A Visual Analytics System for Bridging Interdisciplinary Research Collaborations

Interdisciplinary research collaboration is crucial for scientific innovation, but it remains difficult to initiate in practice. Existing collaborator discovery approaches are often constrained by disciplinary boundaries and static researcher profiles that do not reflect the specific context of a new collaboration goal. As a result, researchers struggle to translate open-ended collaboration goals into domain-specific tasks, evaluate candidate researchers' fit and complementarity, and establish common ground before initial contact. Authors: Yingchaojie Feng, Zekai Shao, Yiqun Sun.

Why it matters

Read this for the paper's specific claim in Research Papers: Interdisciplinary research collaboration is crucial for scientific innovation, but it remains difficult to initiate in practice.

Primary paperarxivcs.HC
Original
Research Papers
arXiv8/4/2026
Recently

Calibrating Trustworthiness: Co-Designing Metrics and Visualizations for Evaluating LLMs in Education

LLMs are reshaping educational technology, yet evaluating their responses for pedagogical alignment remains underexplored, relying heavily on the expertise of learning engineers building the technology. To bridge this gap, we explore trustworthiness as a structured lens for evaluation, leveraging existing measures of LLM trustworthiness to systematically identify potential pedagogical disruptions. Through a longitudinal co-design process with learning engineers developing an LLM-powered digital textbook, we: (1) co-constructed five trustworthiness metrics comprising 20 measures tailored to pedagogical use; (2) designed visualizations that map trustworthiness violations onto LLM responses; and (3) evaluated how these tools help learning engineers make A/B comparisons of LLM responses. Authors: Adam Coscia, Sujata Duwal, Langdon Holmes.

Why it matters

Read this for the paper's specific claim in Research Papers: LLMs are reshaping educational technology, yet evaluating their responses for pedagogical alignment remains underexplored, relying heavily on the expertise of learning engineers building the technology.

Primary paperarxivcs.HC
Original
Research Papers
arXiv8/6/2026
Recently

Game Hopping in Lean

We present HOPSCOTCH, a Lean 4 framework for mechanizing computationally sound, game-based cryptographic proofs. Security definitions are expressed as indistinguishability between stateful probabilistic oracles, and proofs follow the standard game-hopping paradigm. HOPSCOTCH uses a shallow embedding: oracles and reductions are ordinary Lean definitions, enabling direct integration with the full Lean ecosystem, including general mathematical theories from Mathlib, such as finite-group theory. Authors: Stefan Dziembowski, Grzegorz Fabiański, Daniele Micciancio.

Why it matters

Read this for the paper's specific claim in Research Papers: We present HOPSCOTCH, a Lean 4 framework for mechanizing computationally sound, game-based cryptographic proofs.

Primary paperarxivcs.CR
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv8/6/2026
Recently

Distributed coordination for transmission-distribution systems with nonlinear flexibility aggregation

High shares of distributed energy resources (DERs) transform distribution systems into active participants in integrated transmission and distribution (ITD) operations. Linear models enable scalable distribution-level flexibility aggregation but can misclassify AC feasible operating points, whereas direct nonlinear aggregation becomes costly, especially in multiperiod ITD coordination. This paper reformulates transmission-distribution coordination within a hierarchical optimization framework and introduces a non-iterative predictor-corrector aggregation method. Authors: Xinliang Dai, Yanlin Jiang, Frederik Zahn.

Why it matters

Read this for the paper's specific claim in Embedded Systems: High shares of distributed energy resources (DERs) transform distribution systems into active participants in integrated transmission and distribution (ITD) operations.

Primary paperarxiveess.SY
Original
Embedded Systems
Hackster.io8/6/2026
Recently

Espressif Sets ESP RainMaker Free, Releases Permissively-Licensed ESP RainMaker Neo

Espressif has announced a new release of its ESP RainMaker platform, launched six years ago — splitting it into the existing ESP RainMaker Classic and launching a new permissively-licensed open source version called ESP RainMaker Neo. 0," explains Espressif's Amey Inamdar. "It is production-ready and can be deployed directly into your own AWS [Amazon Web Services] account, giving you control over the infrastructure, data, and product experience.

Why it matters

Read this for the engineering context in Embedded Systems: Espressif has announced a new release of its ESP RainMaker platform, launched six years ago — splitting it into the existing ESP RainMaker Classic and launching a new permissively-licensed open source version called ESP RainMaker Neo.

Trusted source
Original
Embedded Systems
arXiv8/6/2026
Recently

DyPES-VLA: Learning Shared Dynamics Priors and Embodiment-Specific Control for Cross-Embodiment Manipulation

Vision-Language-Action (VLA) models have become a powerful paradigm for robot manipulation, but training a single generalist policy for heterogeneous robot embodiments remains an open problem. Existing methods have two main limitations. First, they underuse dynamics priors shared across diverse visual and interaction data, limiting cross-embodiment transfer. Authors: Junfeng Li, Junjie He, Zhide Zhong.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Vision-Language-Action (VLA) models have become a powerful paradigm for robot manipulation, but training a single generalist policy for heterogeneous robot embodiments remains an open problem.

Primary paperarxivcs.RO
Original
Embedded Systems
arXiv8/6/2026
Recently

The Benefits of an Integrated Approach for Stability-Constrained Power System Planning

Increasing penetration of inverter-based resources in today's power systems requires substitution of the contribution from synchronous generators to dynamic voltage stability and inertial response. However, established approaches for power system planning are sequential, as stabilising measures are only considered at a later stage of the planning process. We investigate the advantages of an integrated approach for power system planning, where stabilising measures are considered simultaneously with the expansion of generation, transmission, and storage systems via simplified stability constraints on inertia and voltage stability. Authors: Gereon Recht, Benedikt Jahn, Oussama Alaya.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Increasing penetration of inverter-based resources in today's power systems requires substitution of the contribution from synchronous generators to dynamic voltage stability and inertial response.

Primary paperarxivmath.OC
Original
Embedded Systems
Hackster.io8/6/2026
Recently

Gemma Translator Brings Completely Offline AI Translation to Raspberry Pi 5

On-device AI is advancing very rapidly. It may have been just a few years ago when people were impressed by a microcontroller that could recognize a few basic hand gestures using an accelerometer and AI, but that's child's play today. An interesting open source project recently released by a small team at Google shows just how far the field has come.

Why it matters

Read this for the engineering context in Embedded Systems: It may have been just a few years ago when people were impressed by a microcontroller that could recognize a few basic hand gestures using an accelerometer and AI, but that's child's play today.

Trusted source
Original

Archived section

Computer Systems · 5

Computer Systems
arXiv8/6/2026
Recently

Routing LLM Inference to the Cleanest Grid in Real Time

Large-language-model inference is a fast-growing electricity load whose marginal carbon intensity varies by more than an order of magnitude across grid regions and across the day, making request placement an attractive lever: no retraining, no hardware change. We report a live validation of carbon-aware inference routing on multi-region GPU testbeds driven by marginal operating emissions rate (MOER) signals, with three properties uncommon in prior work: a blind baseline that is an actual production pressure-based router rather than uniform placement; per-request energy attributed from GPU telemetry (NVIDIA DCGM) via measured concurrency curves rather than nameplate TDP; and carbon settlement of every request against historical MOER, not only the forecast that drove the decision. The central live result is feasibility: a MOER signal steered inference across regions with no observed dispatch failures, as a strict and reversible overlay on the production router. Authors: Aleks Bernhard, Arif Baran Yardimci.

Why it matters

Read this for the paper's specific claim in Computer Systems: Large-language-model inference is a fast-growing electricity load whose marginal carbon intensity varies by more than an order of magnitude across grid regions and across the day, making request placement an attractive lever: no retraining, no hardware change.

Primary paperarxivcs.DC
Original
Computer Systems
arXiv8/5/2026
Recently

Kerckhoffs-Compliant Watermarking for Physical Design IP Protection: From Placement to Routing

Physical design (PD) intellectual property (IP) is a valuable artifact of modern VLSI implementation. It includes optimized cell placement, clock distribution, and routing decisions produced by carefully tuned PD flows. As access to PD tools expands, unauthorized reuse of placed-and-routed databases becomes an increasing concern. Authors: Andrew B. Kahng, Yiting Liu.

Why it matters

Read this for the paper's specific claim in Computer Systems: Physical design (PD) intellectual property (IP) is a valuable artifact of modern VLSI implementation.

Primary paperarxivcs.CR
Original
Computer Systems
arXiv8/6/2026
Recently

Breaking Memory Bottlenecks in Quantum Control Systems for More Precise Experiments and Higher Throughput Computing

As quantum computing continues to demonstrate promise and attract growing attention, there is an increasing need for more precise experiments to advance the development of quantum devices, as well as higher circuit throughput to validate more domain applications. However, this need is hindered by a memory bottleneck at the quantum control system layer, arising from limited on-chip BRAM capacity and the non-deterministic latency of DRAM. To break this bottleneck, we present Ant-Q, a memory hierarchy design that integrates DRAM with BRAM to support pipelined quantum circuit execution while ensuring deterministic inter-circuit timing. Authors: Yicheng Guang, Neel Vora, Yilun Xu.

Why it matters

Read this for the paper's specific claim in Computer Systems: As quantum computing continues to demonstrate promise and attract growing attention, there is an increasing need for more precise experiments to advance the development of quantum devices, as well as higher circuit throughput to validate more domain applications.

Primary paperarxivcs.AR
Original
Computer Systems
arXiv8/5/2026
Recently

Hardware Design and Security in the Era of Chiplets and LLMs

5D chiplet systems and the integration of Large Language Models (LLMs) into Electronic Design Automation (EDA) flows., they radically expand the hardware attack surface. This paper provides a unified analysis of these frontiers, ranging from attacks on chiplet systems (including hardware stacks for LLM acceleration) across architectural, logical, and physical levels, to various exploits against LLM-driven EDA pipelines. Authors: Johann Knechtel, Ozgur Sinanoglu, Paul V. Gratz.

Why it matters

Read this for the paper's specific claim in Computer Systems: , they radically expand the hardware attack surface.

Primary paperarxivcs.CR
Original
Computer Systems
arXiv8/4/2026
Recently

Evaluating MFU as a Proxy for GPU Power for Energy-Aware Simulation of LLM Training

High-fidelity performance simulators are essential for designing and configuring efficient AI systems, yet today's tools lack the ability to predict power consumption. Established GPU power models rely on hardware utilization counters, which do not exist until the workload has actually run. This work evaluates whether Model FLOPs Utilization (MFU)-an analytical, software-defined metric relating achieved throughput to peak hardware capability-can serve as a portable, software-defined predictor of GPU power for LLMs. Authors: Niklas Enskat, Philipp Wiesner.

Why it matters

Read this for the paper's specific claim in Computer Systems: High-fidelity performance simulators are essential for designing and configuring efficient AI systems, yet today's tools lack the ability to predict power consumption.

Primary paperarxivcs.PF
Original

Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
arXiv8/6/2026
Recently

Automatic Translation of Unstructured Requirements into Linear Temporal Logic through Large Language Models

Automatically translating unstructured natural language requirements into formal specifications remains a challenge in requirements engineering and formal methods, particularly for safety- and mission-critical systems whose verification depends on mathematically precise specifications. This paper evaluates whether contemporary off-the-shelf Large Language Models (LLMs) can help bridge this gap by generating Linear Temporal Logic (LTL) formulas directly from unstructured requirements. The study examines six modern LLMs using a few-shot prompting strategy on a heterogeneous benchmark of 15 structurally varied requirements. Authors: Alexandra Newcomb, Omar Ochoa.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Automatically translating unstructured natural language requirements into formal specifications remains a challenge in requirements engineering and formal methods, particularly for safety- and mission-critical systems whose verification depends on mathematically precise specifications.

Primary paperarxivcs.SE
Original
Developer Tools / Open Source
CNCF Blog8/7/2026
Recently

Does Kubernetes DRA Replace HAMi?

Projects that want to share a GPU on Kubernetes have to work around an API instead of with it. com/gpu: 1. It meant one...

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Projects that want to share a GPU on Kubernetes have to work around an API instead of with it.

Official sourceBlog
Original
Developer Tools / Open Source
GitHub Blog8/6/2026
Recently

How we took malware advisories beyond npm

GitHub malware advisories no longer stop at npm. Here's how we wired OpenSSF's malicious-packages data into the Advisory Database, and why we built the pipeline paranoid. The post How we took malware advisories beyond npm appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: GitHub malware advisories no longer stop at npm.

Official sourceSupply chain securityGitHub Advisory Database
Original
Developer Tools / Open Source
Vercel Blog8/5/2026
Recently

Pause workflows for approval with Chat SDK

You can build human-in-the-loop approvals with Chat SDK through the new subpath. chat/workflowrequestApprovalWorkflow SDK The wait can last seconds or days and survives deploys and restarts. You don't need an approvals table, an handler, or a polling loop:onAction Start the workflow from any handler, and instances serialize across the workflow boundary automatically.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: You can build human-in-the-loop approvals with Chat SDK through the new subpath.

Official source
Original
Developer Tools / Open Source
GitHub Engineering8/4/2026
Recently

Turn one giant AI-generated pull request to a reviewable stack

Instead of one huge, un-reviewable pull request, teach coding agents to decompose work into a clean, ordered stack with GitHub stacked pull requests. The post Turn one giant AI-generated pull request to a reviewable stack appeared first on The GitHub Blog.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Instead of one huge, un-reviewable pull request, teach coding agents to decompose work into a clean, ordered stack with GitHub stacked pull requests.

Official sourceEngineeringstacked pull requests
Original

Archived section

Cloud / Infrastructure · 5

Cloud / Infrastructure
CNCF Blog8/7/2026
Recently

Shadow AI in CI/CD: Threat-modeling the path from developer laptop to Kubernetes

Artificial intelligence is becoming part of daily software delivery, often before it becomes part of the security architecture. That gap has a name: Shadow AI. It is any AI tool, model, agent, extension, or integration used...

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Artificial intelligence is becoming part of daily software delivery, often before it becomes part of the security architecture.

Official sourceBlog
Original
Cloud / Infrastructure
Cloudflare Blog8/6/2026
Recently

The next generation of MCP

The next version of MCP has a rewritten, stateless core that just works on Workers. We cover upgrades to the protocol, the new feature lifecycle and SDK migration path, and hear from early adopters already running it in production.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: The next version of MCP has a rewritten, stateless core that just works on Workers.

Official sourceAgentsAgents Week
Original
Cloud / Infrastructure
Meta Engineering8/5/2026
Recently

From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta's Ads Ranking

Every day, Meta's recommendation platforms handle billions of user interactions, generating rich temporal signals that capture individual preferences and intent across products, ads, and content. ] Read More... The post From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta's Ads Ranking appeared first on Engineering at Meta.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Every day, Meta's recommendation platforms handle billions of user interactions, generating rich temporal signals that capture individual preferences and intent across products, ads, and content.

Official sourceData InfrastructureML Applications
Original
Cloud / Infrastructure
Cloudflare Blog8/4/2026
Recently

How we built a software factory to drive Astro's GitHub issue count to zero

By replacing manual issue verification with isolated AI subagents running in GitHub Actions, the Astro maintainers reduced open issue count by 85%. This post explores the architecture behind automated bug reproduction, patch verification, and preview releases.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: By replacing manual issue verification with isolated AI subagents running in GitHub Actions, the Astro maintainers reduced open issue count by 85%.

Official sourceAgentsAgents Week
Original
Cloud / Infrastructure
Cloudflare Blog8/6/2026
Recently

Cloudflare AI Search: give your agents a search engine for your data

AI Search makes search easier than ever, with no Cloudflare primitives to stitch together. Point it at your data to create a search for your own files and websites. We're also sharing a preview of our new pricing model.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: AI Search makes search easier than ever, with no Cloudflare primitives to stitch together.

Official sourceAgentsAgents Week
Original