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Artificial Intelligence / Machine Learning · 5

Automation / Agentic Systems · 5

Research Papers · 4

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
arXiv8/4/2026
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
arXiv8/3/2026
Recently

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity

Controllable video generation models are increasingly being developed as world models. Accordingly, evaluating them in this role extends beyond the apparent appearance of generated videos to the inherent reactivity of the worlds they depict: the ability to infer from the scene state how the world should react and to generate plausible consequences not explicitly described in the input. Yet existing benchmarks mainly assess visual quality or explicit instruction fulfillment by checking whether requested actions and interaction outcomes are realized, leaving inherent reactivity underexamined. Authors: Yuxue Yang, Shuyao Shang, Jiahe Wang.

Why it matters

Read this for the paper's specific claim in Artificial Intelligence / Machine Learning: Controllable video generation models are increasingly being developed as world models.

Primary paperarxivcs.CV
Original
Artificial Intelligence / Machine Learning
Meta Engineering8/3/2026
Recently

GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model

Meta's Generative Ads Recommendation Model (GEM), the foundation model behind ads recommendations across Instagram and Facebook, now trains at LLM scale on several thousand of the latest-generation GPUs. ] Read More... The post GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model appeared first on Engineering at Meta.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: Meta's Generative Ads Recommendation Model (GEM), the foundation model behind ads recommendations across Instagram and Facebook, now trains at LLM scale on several thousand of the latest-generation GPUs.

Official sourceAI ResearchData Infrastructure
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
Artificial Intelligence / Machine Learning
NVIDIA Technical Blog8/3/2026
Recently

NVIDIA Vera Storage Benchmarks: Faster Encryption, Compression, Integrity Checking, and Recovery for AI-Native Storage

Storage is an active part of every agentic AI workflow. As agents retrieve enterprise knowledge, access persistent memory, reuse key-value (KV) cache data,... Storage is an active part of every agentic AI workflow.

Why it matters

Read this for the official technical update in Artificial Intelligence / Machine Learning: Storage is an active part of every agentic AI workflow.

Official source
Original

Archived section

Automation / Agentic Systems · 5

Automation / Agentic Systems
arXiv8/4/2026
Recently

SocietyBench: Forecasting Counterfactual Social-World Evolution

Large language models (LLMs), and the agents built on top of them, are now benchmarked heavily on whether they can finish a task -- fix a bug, drive a browser, operate a GUI. A complementary social ability, namely how well a model understands and forecasts the way real social events unfold, has barely been measured. We introduce SocietyBench, an end-to-end benchmark that takes a one-line event topic, collects Web news and social-media posts across five platforms, distills them into a date-indexed timeline that keeps factual events and a public-opinion layer separate, and then turns every cutoff date on that timeline into an audited bank of forecasting questions. Authors: Zhenran Wang, Zhonghan Bian, Jinsong Li.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Large language models (LLMs), and the agents built on top of them, are now benchmarked heavily on whether they can finish a task -- fix a bug, drive a browser, operate a GUI.

Primary paperarxivcs.CL
Original
Automation / Agentic Systems
arXiv8/4/2026
Recently

PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents

Recursive self-improvement requires agents to turn accumulated experience into better future behavior. Personal AI agents offer a concrete setting for studying this capability because they retain preferences, task histories, tool routines, and learned skills across sessions. Yet whether retained experience actually improves them over time has not been systematically tested. Authors: Shuhan Xue, Zixin Ding, Yichen Shen.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Recursive self-improvement requires agents to turn accumulated experience into better future behavior.

Primary paperarxivcs.CL
Original
Automation / Agentic Systems
arXiv8/4/2026
Recently

Should We Type or Talk to LLM Agents? A Comprehensive Study of Voice and Keyboard Input Perturbations

Human input reaches language models by typing or speaking, and each channel leaves a distinct signature: orthographic noise for keyboards; for voice, disfluency from conventional transcription and restructuring from AI-backed dictation tools. How do they impact an LLM's performance? In this paper we present HIVE (Human Input-Variation Engine), a suite of voice transcription perturbations and QWERTY keyboard perturbations. Authors: Zizhao Hu, Nathan Elijah Segura, Mohammad Rostami.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: Human input reaches language models by typing or speaking, and each channel leaves a distinct signature: orthographic noise for keyboards; for voice, disfluency from conventional transcription and restructuring from AI-backed dictation tools.

Primary paperarxivcs.AI
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
Automation / Agentic Systems
arXiv8/4/2026
Recently

Video-DeepResearch: Towards the Next-Generation Multimodal Deepresearch Agent

We introduce Video-DeepResearch (Video-DR), extending multimodal agents from static images to continuous video streams, a setting that demands dense spatiotemporal grounding coupled with open-web exploration. Preliminary evaluations reveal two critical bottlenecks in current models: (1) modality bias, where agents bypass visual tools in favor of textual search, and (2) parametric knowledge leakage, where models rely on internal memory rather than genuine tool-augmented execution. To address these challenges, we propose Video-DR, featuring a decoupled perception-exploration pipeline with stage-wise tool unlocking that compels exhaustive cross-frame visual grounding prior to web retrieval. Authors: Zhen Fang, Yu Zeng, Wenxuan Huang.

Why it matters

Read this for the paper's specific claim in Automation / Agentic Systems: We introduce Video-DeepResearch (Video-DR), extending multimodal agents from static images to continuous video streams, a setting that demands dense spatiotemporal grounding coupled with open-web exploration.

Primary paperarxivcs.CV
Original

Archived section

Research Papers · 4

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
arXiv8/4/2026
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Semantic Bundling: Interactive Node and Edge Bundling to Simplify Knowledge Graphs using Large Language Models

We present Semantic Bundling, a visual analytics technique for making sense of text documents represented as knowledge graphs (KGs). Representing a document corpus as a KG makes relationships between entities explicit, making KGs useful both to analyze directly and in computational workflows including ML pipelines and generative AI backends., the ``hairball problem''), with the meaning of each relationship often buried in dense source text. Authors: Adam Coscia, Zeyu Hua, Eric Krokos.

Why it matters

Read this for the paper's specific claim in Research Papers: We present Semantic Bundling, a visual analytics technique for making sense of text documents represented as knowledge graphs (KGs).

Primary paperarxivcs.HC
Original
Research Papers
arXiv8/3/2026
Recently

On Defining Chart Types Boundaries

What makes a Gantt chart? This question proved unexpectedly difficult to answer when we set out to build a design space for Gantt charts. Existing definitions, each shaped by their respective research goals, made different scope choices that we could not directly reconcile. Authors: Chang Han, Andrew Mcnutt, Katherine E. Isaacs.

Why it matters

Read this for the paper's specific claim in Research Papers: This question proved unexpectedly difficult to answer when we set out to build a design space for Gantt charts.

Primary paperarxivcs.HC
Original
Research Papers
arXiv8/3/2026
Recently

Solving the Shortest Vector Problem in time 2^0.6039n Time via Mid-point Hessian

We present randomized algorithms for the shortest vector problem (SVP). 5n+o(n), improving the previous best algorithm running in 2^n+o(n) time and space of Aggarwal, Dadush, Regev, and Stephens-Davidowitz [STOC'15]. Our algorithms heavily use the property of the Hessian of the periodic Gaussian function at the half shortest vector: For a shortest vector v \in \mathcal L, the Hessian at v/2 has the eigenvector close to v, which can be used to recover v using the (preprocessing) bounded distance decoding algorithm. Authors: Minki Hhan.

Why it matters

Read this for the paper's specific claim in Research Papers: We present randomized algorithms for the shortest vector problem (SVP).

Primary paperarxivcs.DS
Original

Archived section

Embedded Systems · 5

Embedded Systems
arXiv8/4/2026
Recently

Stochastic Multiple Shooting Trajectory Optimization via Sequential Local Policy Evaluation

Stochastic single shooting trajectory optimization methods such as Model Predictive Path Integral control (MPPI) have been widely adopted in robotics due to their ability to reason about probabilistic dynamics and provide solutions where model gradients are noisy, costly to evaluate, or unavailable. However, satisfaction of terminal constraints when shooting over long action sequences is often sample inefficient, requiring a large number of iterations for convergence. In this paper, we present a stochastic multiple shooting method that optimizes short control action sequences connected via local feedback policies to improve sample efficiency and convergence to a terminal set. Authors: Ashwin Gupta, Joseph Moore.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Stochastic single shooting trajectory optimization methods such as Model Predictive Path Integral control (MPPI) have been widely adopted in robotics due to their ability to reason about probabilistic dynamics and provide solutions where model gradients are noisy, costly to evaluate, or unavailable.

Primary paperarxivcs.RO
Original
Embedded Systems
arXiv8/4/2026
Recently

Bimanual Manipulation Within an 8 GB Budget: Zero-Copy Sensing and Quantized ACT on an Entry-Level Jetson

Bimanual manipulation policies trained with imitation learning are typically evaluated on workstation or datacenter-class GPUs, leaving the cost of deploying them on embedded hardware largely uncharacterized. We present a bimanual SO-101 system running entirely on an NVIDIA Jetson Orin Nano Super (8 GB), the entry-level tier of NVIDIA's embedded line, using a desktop GPU (RTX 3070) only for offline training, evaluated on pick-and-place of a deformable beanbag. First, we build a GStreamer capture pipeline backed by NVMM buffers that removes redundant host-device copies from three-camera sensing. Authors: Ekansh Singh, Eva Samuel, Alessandra Reneau.

Why it matters

Read this for the paper's specific claim in Embedded Systems: Bimanual manipulation policies trained with imitation learning are typically evaluated on workstation or datacenter-class GPUs, leaving the cost of deploying them on embedded hardware largely uncharacterized.

Primary paperarxivcs.RO
Original
Embedded Systems
Hackster.io8/3/2026
Recently

Looking to Increase the Strength of Your 3D-Printed PLA Parts? Give Them a Shake, Researchers Say

Vibration, normally an unwanted force that serves to ruin the finish of your 3D prints, could be harnessed to deliver stronger PLA prints on fused filament fabrication (FFF, also known as FDM) 3D printers — at least, according to researchers from the University of Ha'il, the Higher Institute for Technical Sciences Tarhuna, the University of Sfax, and the University of Sousse. "Material Extrusion (MEX), particularly Fused Filament Fabrication (FFF), commercially known as Fused Deposition Modeling (FDM), has become one of the most widely used additive manufacturing technologies for producing polymer components," the team explains by way of background to the work. "However, the mechanical performance of printed parts remains limited by weak interlayer bonding and internal porosity.

Why it matters

Read this for the engineering context in Embedded Systems: Vibration, normally an unwanted force that serves to ruin the finish of your 3D prints, could be harnessed to deliver stronger PLA prints on fused filament fabrication (FFF, also known as FDM) 3D printers — at least, according to researchers from the University of Ha'il, the Higher Institute for Technical Sciences Tarhuna, the University of Sfax, and the University of Sousse.

Trusted source
Original
Embedded Systems
arXiv8/4/2026
Recently

A Stackelberg-Bayesian Capacity-Market Game of Carbon Regulation and Second-Life Battery Investment under AI Data-Center Load Growth

S. ISO/RTO regions, raising both system costs and carbon exposure. This study develops a three-level Stackelberg--Bayesian game in which a regulator (leader) sets carbon penalties and subsidies, a single ISO capacity market clears against an energy balance modeled as a classical generation-expansion problem, and technology-specific investors (followers) decide capacity and operation under incomplete information, yielding a Bayesian Nash equilibrium. Authors: Rouzbeh Haghighi, Ali Hassan, Sina Mohammadi.

Why it matters

Read this for the paper's specific claim in Embedded Systems: ISO/RTO regions, raising both system costs and carbon exposure.

Primary paperarxiveess.SY
Original
Embedded Systems
Hackster.io8/3/2026
Recently

Wait, Stewart Platforms Can Walk Now!

A Stewart platform is a nifty kind of parallel robot that uses six linear actuators, with ball joints at each end, to move the top with six degrees of freedom. That's really useful if, for example, you want a platform that you can actuate to always remain level. In most implementations, the base is fixed as a rigid body.

Why it matters

Read this for the engineering context in Embedded Systems: A Stewart platform is a nifty kind of parallel robot that uses six linear actuators, with ball joints at each end, to move the top with six degrees of freedom.

Trusted source
Original

Archived section

Computer Systems · 5

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
Computer Systems
arXiv8/4/2026
Recently

Heterogeneity-Aware Microscaling for Efficient Low-Bit LLM Inference

Microscaling (MX) is now the standard for low-bit large language model (LLM) inference. Its 4-bit form MXFP4 still loses substantial accuracy, because existing MX formats fix either the element format or the precision-recovery scheme across blocks, and thus capture only limited quantization heterogeneity. Quantization heterogeneity appears at two levels: 1) across blocks, the preferred element format and precision-recovery scheme vary; 2) across operands, weights and activations require different encoding. Authors: Junyi Luo, Xinting Jiang, Tai-Hao Wen.

Why it matters

Read this for the paper's specific claim in Computer Systems: Microscaling (MX) is now the standard for low-bit large language model (LLM) inference.

Primary paperarxivcs.AR
Original
Computer Systems
LWN.net8/3/2026
Recently

Buffer sizes for FUSE io_uring

The Filesystem in Userspace (FUSE) subsystem provides a way to service filesystem requests from a user-space server, which moves the format-handling code out of the kernel. The FUSE server can use the io_uring facility for better performance, but Bernd Schubert is concerned that memory is being wasted because the current implementation has a single, large buffer size that is excessive for small I/O operations. He led a discussion on that topic in the filesystem track of the 2026 Linux Storage, Filesystem, Memory Management, and BPF Summit in Zagreb, Croatia.

Why it matters

Read this for the concrete reporting in Computer Systems: The Filesystem in Userspace (FUSE) subsystem provides a way to service filesystem requests from a user-space server, which moves the format-handling code out of the kernel.

Trusted source
Original
Computer Systems
CNCF Blog8/3/2026
Recently

Cortex completes OSTIF security audit

The Open Source Technology Improvement Fund is proud to share the results of our security audit of Cortex. Cortex functions as a long-term, multi-tenant scalable open source storage for Prometheus and OpenTelemetry. Thanks to Quarkslab and...

Why it matters

Read this for the official technical update in Computer Systems: The Open Source Technology Improvement Fund is proud to share the results of our security audit of Cortex.

Official sourceBlog
Original
Computer Systems
Cloudflare Blog8/3/2026
Recently

Your agent needs a computer, not a container — introducing @cloudflare/computer

Agents need more than just a container to scale. We're introducing @cloudflare/computer, an agent runtime that dynamically orchestrates between fast, efficient isolates and full Linux containers to give every agent a computer of its own.

Why it matters

Read this for the official technical update in Computer Systems: Agents need more than just a container to scale.

Official sourceAgentsAgents Week
Original

Archived section

Developer Tools / Open Source · 5

Developer Tools / Open Source
arXiv8/4/2026
Recently

High-level quantum structured programs as quantum registers compositions

Current quantum programs are mainly designed at the level of quantum gates acting on individual qubits; on a large scale and for complex problems this may involve a high cognitive load on the programmer, making the program specification nontrivial and error-prone. In this context, providing quantum programming with higher abstraction mechanisms will assist in making this task more manageable and robust against design errors. In this work, a conceptual framework is addressed following the notion of the whole quantum computation as a structure composed of quantum registers representing each an undivided entity. Authors: David Chamizo, Jose Garcia-Alonso, Juan M. Murillo.

Why it matters

Read this for the paper's specific claim in Developer Tools / Open Source: Current quantum programs are mainly designed at the level of quantum gates acting on individual qubits; on a large scale and for complex problems this may involve a high cognitive load on the programmer, making the program specification nontrivial and error-prone.

Primary paperarxivquant-ph
Original
Developer Tools / Open Source
CNCF Blog8/3/2026
Recently

Kubeflow SDK evolution- One million downloads and counting

The unified kubeflow-sdk has officially crossed 1 million downloads on PyPI! This milestone reflects the rapid adoption of this streamlined interface. In this post, we celebrate this community milestone and highlight the core concepts driving the...

Why it matters

Read this for the official technical update in Developer Tools / Open Source: The unified kubeflow-sdk has officially crossed 1 million downloads on PyPI!

Official sourceBlog
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
Developer Tools / Open Source
LWN.net8/4/2026
Recently

The beginning of a process-builder API

The recent discussion on "spawn templates" raised questions about whether it was time to provide an alternative to the classic Unix fork()/exec() pattern for process creation. One idea that was raised there was to shift the template pattern into an interface that could be used to efficiently assemble new processes from bare cloth, without duplicating the parent process. Preferably, that interface would be able to implement posix_spawn().

Why it matters

Read this for the concrete reporting in Developer Tools / Open Source: The recent discussion on "spawn templates" raised questions about whether it was time to provide an alternative to the classic Unix fork()/exec() pattern for process creation.

Trusted source
Original
Developer Tools / Open Source
Docker Blog8/3/2026
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Empty sandboxes break developer experience

Learn how Docker Sandbox kits turn empty sandboxes into productive development environments with repeatable tooling, credentials, and configuration.

Why it matters

Read this for the official technical update in Developer Tools / Open Source: Learn how Docker Sandbox kits turn empty sandboxes into productive development environments with repeatable tooling, credentials, and configuration.

Official sourceProductsAI Agent
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Archived section

Cloud / Infrastructure · 5

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
arXiv8/4/2026
Recently

PRISM: Powerful Time Series to Image (TS2I) Representations for Multivariate Anomaly Detection

Time series anomaly detection (TSAD) underpins applications in predictive maintenance, finance, and cloud computing, however performance remains sensitive to representation choices, especially in multivariate settings. While transforming time series into images has shown success in forecasting and classification, it remains unclear how multivariate, high-dimensional series should be mapped to multi-channel images and whether vision backbones can match time-domain baselines in TSAD. We introduce PRISM, a plug-and-play meta-workflow enabling systematic construction and evaluation of image-based representations for multivariate TSAD. Authors: Mateusz Smendowski, Kamil Faber, Piotr Nawrocki.

Why it matters

Read this for the paper's specific claim in Cloud / Infrastructure: Time series anomaly detection (TSAD) underpins applications in predictive maintenance, finance, and cloud computing, however performance remains sensitive to representation choices, especially in multivariate settings.

Primary paperarxivcs.LG
Original
Cloud / Infrastructure
Vercel Blog8/3/2026
Recently

How Factory scaled its cloud backend to one billion monthly requests on Vercel

js app Middleware manages authentication and routing logic across every surface Webhook handlers and log drain pipelines run alongside the web platform, feeding analytics downstream Internal analytics dashboards that pull directly from Factory's analytics databases and software tools Tailored, customer-specific demos that solutions engineers can build and deploy in minutes Custom utilities for one-off internal workflows mission is to bring autonomy to every phase of the software development lifecycle, from signals to production. Not to replace engineering judgment, but to automate the repetitive work around it, giving engineers more time to focus on the decisions that matter most. Factory's As Factory scaled from a simple web app into a multi-surface platform, serving everyone from individual developers to enterprises with tens of thousands of engineers, their backend scaled alongside them.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: js app Middleware manages authentication and routing logic across every surface Webhook handlers and log drain pipelines run alongside the web platform, feeding analytics downstream Internal analytics dashboards that pull directly from Factory's analytics databases and software tools Tailored, customer-specific demos that solutions engineers can build and deploy in minutes Custom utilities for one-off internal workflows mission is to bring autonomy to every phase of the software development lifecycle, from signals to production.

Official source
Original
Cloud / Infrastructure
Vercel Blog8/3/2026
Recently

How Factory scaled its cloud backend to tens of millions of daily requests on Vercel

js app Middleware manages authentication and routing logic across every surface Webhook handlers and log drain pipelines run alongside the web platform, feeding analytics downstream Internal analytics dashboards that pull directly from Factory's analytics databases and software tools Tailored, customer-specific demos that solutions engineers can build and deploy in minutes Custom utilities for one-off internal workflows mission is to bring autonomy to every phase of the software development lifecycle, from signals to production. Not to replace engineering judgment, but to automate the repetitive work around it, giving engineers more time to focus on the decisions that matter most. Factory's As Factory scaled from a simple web app into a multi-surface platform, serving everyone from individual developers to enterprises with tens of thousands of engineers, their backend scaled alongside them.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: js app Middleware manages authentication and routing logic across every surface Webhook handlers and log drain pipelines run alongside the web platform, feeding analytics downstream Internal analytics dashboards that pull directly from Factory's analytics databases and software tools Tailored, customer-specific demos that solutions engineers can build and deploy in minutes Custom utilities for one-off internal workflows mission is to bring autonomy to every phase of the software development lifecycle, from signals to production.

Official source
Original
Cloud / Infrastructure
Cloudflare Blog8/3/2026
Recently

Introducing the Billable Usage API: programmatic cost visibility for Cloudflare

Cloudflare has launched a new Billable Usage API for accounts, giving developers and FinOps teams single-endpoint programmatic visibility into cost and usage across all self-serve products. Built around the FOCUS specification, track spend seamlessly alongside the rest of your cloud stack.

Why it matters

Read this for the official technical update in Cloud / Infrastructure: Cloudflare has launched a new Billable Usage API for accounts, giving developers and FinOps teams single-endpoint programmatic visibility into cost and usage across all self-serve products.

Official sourceAgents WeekAPI
Original