---
title: "Latest reads"
description: "The engineering internet, summarised so you can actually read it."
---

# Latest reads
> The engineering internet, summarised so you can actually read it.

## Articles

### [Connecting customer context to measurable ROI with agentic marketing](https://yomu.fyi/post/connecting-customer-context-to-measurable-roi-with-agentic-marketing.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Elena Tesser, Alexandra Haefele
- Published: Oct 1, 2026
- Type: Explainer

Customer journeys have become non-linear while identity signals decay, and marketing value is shifting from reach frequency to a prediction economy that rewards anticipating needs. AI agents can recommend or take the next-best action for each customer within human-defined guardrails, with each action measured incrementally against what would have happened without it. Identity resolution must be continuous, connecting known and pseudonymous signals across channels, to provide reliable context for agent decisions. The context required includes customer behavior, business objectives, decision history, and control guardrails, with a single transaction carrying up to 50 metadata parameters. A practical starting point is focusing on one meaningful decision, such as reactivating lapsed customers, and expanding as trust and results build.


### [A look back before we look forward: A Developer Survey retrospective](https://yomu.fyi/post/a-look-back-before-we-look-forward-a-developer-survey-retrospective.md)
- Company: [Stack Overflow](https://yomu.fyi/company/stack-overflow.md)
- Author: Erin Yepis
- Published: Oct 1, 2026
- Type: Explainer

A retrospective analysis of the Stack Overflow Developer Survey compares 2024 and 2025 data across AI adoption, work settings, and demographic shifts. AI tool usage among developers rose from 62% to 79% year-over-year, while agent adoption jumped from 31% in 2025 to 59% in an April 2026 pulse survey, with ChatGPT and GitHub Copilot as primary gateways. Enthusiasm for AI tools cooled: favorable sentiment fell from 72.0% to 59.7% overall and from 72.2% to 52.8% among learners, and trust in accuracy declined from 49.1% to 37.4% for students, while skepticism among learners quadrupled from 6.4% to 26.3%. Fully remote work dropped from 38% to 32.4%, but 82% of respondents had some remote flexibility. The article identifies growing reliance on AI alongside skepticism and frames unanswered questions about learning, trust, and job satisfaction for the upcoming 2026 survey.


### [One year later: Sovereign AI and the fight for choice](https://yomu.fyi/post/one-year-later-sovereign-ai-and-the-fight-for-choice.md)
- Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md)
- Author: Petra Arts
- Published: Oct 1, 2026
- Type: Announcement

A year after arguing that AI sovereignty means choice, Cloudflare adds two European open models—EuroLLM and Apertus—to Workers AI, reflecting a year where access to frontier models became constrained and attacks using AI increased. EuroLLM supports 35 languages including all 24 EU official languages, many underserved by existing open models, and was trained on the MareNostrum 5 supercomputer. Apertus, Switzerland’s first fully open multilingual model, was trained on 15 trillion tokens across 1,500+ languages on the Alps supercomputer (10,000+ GH200 GPUs) and outperforms leading models on rare and regional languages. Cloudflare also launches hands-on workshops for government cyber agencies and critical infrastructure operators to build model-agnostic AI security defenses, starting in Singapore in October. The company open-sourced its own security harness that coordinates multiple AI models for vulnerability hunting, ensuring defenses remain operational even if access to one model is lost.


### [Master your skills: Building skills you can trust](https://yomu.fyi/post/master-your-skills-building-skills-you-can-trust.md)
- Company: [Red Hat](https://yomu.fyi/company/red-hat.md)
- Author: Dejan Bosanac
- Published: Oct 1, 2026
- Type: Explainer

Skills in AI agent projects silently misfire when their trigger descriptions are passive or too general, causing the agent to skip using them. The authoring tool skill-creator, from Anthropic’s skills collection, provides an eval loop that generates positive and negative test prompts and iterates on description accuracy using a training and held-out test set to avoid overfitting. These tests are ephemeral, so the open-source framework promptfoo extends them into permanent configuration files that can be committed alongside skills. Promptfoo’s agent SDK providers test through the actual agent runtime and include a skill-used assertion to confirm proper routing, and its YAML-based configuration fits naturally into version control. The final step is wiring promptfoo evals into CI, using GitHub Actions with path filters to run on pull requests that modify skills, catching regressions before they ship and costing roughly $0.10-0.15 per eval.


### [GPU virtualization at scale: AMD MI300X SR-IOV on Red Hat OpenStack Services on OpenShift](https://yomu.fyi/post/gpu-virtualization-at-scale-amd-mi300x-sr-iov-on-red-hat-openstack-ser.md)
- Company: [Red Hat](https://yomu.fyi/company/red-hat.md)
- Author: Sudhakar Molli, Bohdan Dobrelia, Miguel Carpio, Petr Kubica, Venkataramana Venugopal
- Published: Oct 1, 2026
- Type: Benchmark

Enterprise AI environments are moving from dedicated GPU servers to shared accelerator infrastructure, requiring higher GPU utilization with strong isolation. AMD Instinct MI300X GPUs support hardware-assisted SR-IOV in CPX mode, each exposing eight virtual functions with separate PCI and VRAM allocation. When integrated with Red Hat OpenStack Services on OpenShift, the control plane runs on OpenShift while RHEL compute nodes use EDPM, with Nova scheduling VFs via VFIO PCI passthrough. Validation on an 8-GPU system created 64 VFs, demonstrated 64 VMs with one VF each, and tested up to 32 VFs per VM. BabelStream benchmarks showed approximately 96-99% of bare-metal memory bandwidth, while the testing also identified limitations in GPU peer-to-peer DMA and runtime VF lifecycle.


### [Cloudflare OS: your company’s agent workspace, managed for you](https://yomu.fyi/post/cloudflare-os-your-company-s-agent-workspace-managed-for-you.md)
- Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md)
- Author: Phillip Jones
- Published: Oct 1, 2026
- Type: Announcement

Cloudflare OS is an open-source agent workspace that connects to company data and systems. The fully managed version lets organizations launch an agent workspace in a few clicks from the Cloudflare dashboard, with control over access, skills, and connected systems. Recent updates add GitHub repository integration, allowing agents to explore codebases, fix bugs, and open pull requests. Google Workspace connectivity now supports reading Gmail, creating drafts, sending emails, and accessing Google Drive. Users can export work to formats like Excel, CSV, PDF, Markdown, or HTML, with Word and PowerPoint export coming soon. The managed service is available via waitlist, while the open-source version can be deployed into your own Cloudflare account.


### [Announcing Cloudflare K2: serverless event streams](https://yomu.fyi/post/announcing-cloudflare-k2-serverless-event-streams.md)
- Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md)
- Author: Marc Selwan
- Published: Oct 1, 2026
- Type: Announcement

Cloudflare launched K2, a serverless event streaming service in public beta, to decouple producers and consumers in distributed systems. K2 stores events as an ordered log, allowing independent consumers to read at their own pace without losing data. Under the hood, it builds a partitioned durable log on top of R2 object storage, using atomic operations for ordering. Produce latency at the 99th percentile is about 1 second due to batching writes to R2 segments. K2 is available now for Workers Paid accounts with a 10GB storage limit and 30 MB/s produce per stream, with no billing during beta.


### [We want you to build the next Git platform on Cloudflare](https://yomu.fyi/post/we-want-you-to-build-the-next-git-platform-on-cloudflare.md)
- Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md)
- Author: Zebulon Piasecki
- Published: Oct 1, 2026
- Type: Announcement

Cloudflare announced Artifacts, a programmable versioned filesystem speaking Git, is now in open beta for Workers Paid customers. Aimed at an era where AI agents write more code, Artifacts offers primitives for per-agent or per-task repositories, forking, versioned storage, and Git operations. New capabilities include deploying Artifacts repos to Workers via Workers Builds, managing repos from Workers with bindings, subscribing to push events for CI or review, setting US/EU data jurisdiction, and viewing metrics. Cloudflare is hosting a competition to build the next Git platform on Artifacts, requiring a 5-10 minute video and permissively licensed source code that reimagines agent coordination, review, and concurrent changes. Submissions close October 14, 2026; the first-place team wins $25,000 in Cloudflare credits and a trip to Cloudflare Connect, with three teams invited to San Francisco.


### [AI Search is now generally available](https://yomu.fyi/post/ai-search-is-now-generally-available.md)
- Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md)
- Author: Ashish Vinodkumar
- Published: Oct 1, 2026
- Type: Announcement

Cloudflare’s AI Search, a managed pipeline combining Workers AI, Vectorize, R2, and Browser Run, is now generally available after a year of preview. The update adds native image embeddings via the Qwen3-VL-Embedding model with Matryoshka Representation Learning, enabling visual search by texture and composition alongside caption-based text search. AI Search now supports files up to 10 MiB and optical character recognition for scanned PDFs; queries undergo optional rewriting, parallel vector and keyword search, fusion, and optional reranking. Previously reliant on caption generation only, image retrieval now embeds query images directly using multimodal models, while text-only models convert images to text via ToMarkdown. Billing starts November 1, 2026, with a free monthly allotment of 5 million ingestion tokens, 10 GB storage, 1,000 semantic queries, and 1,000 full-text queries, with no capacity units or monthly minimums.


### [Support for modern cryptographic algorithms in Workers](https://yomu.fyi/post/support-for-modern-cryptographic-algorithms-in-workers.md)
- Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md)
- Author: Thibault Meunier
- Published: Oct 1, 2026
- Type: Announcement

Cloudflare Workers now provides opt-in support for post-quantum cryptographic algorithms ML-KEM and ML-DSA within the Web Crypto API, including ML-KEM-768, ML-KEM-1024, ML-DSA-44, ML-DSA-65, and ML-DSA-87. These algorithms enable key encapsulation via encapsulateBits and decapsulateBits, and signatures via sign and verify, along with helper APIs like getPublicKey and SubtleCrypto.supports for feature detection. The implementation is gated behind the webcrypto\_modern\_algorithms compatibility flag and is based on a draft WICG specification, meaning it is opt-in while the specification is still moving. Developers can now use native primitives instead of bundling separate cryptographic code, reducing application size and maintenance burden for developers. Libraries such as panva/jose for JWTs and panva/hpke for HPKE can delegate ML-KEM and ML-DSA to the runtime, enabling experimentation with post-quantum protocols and preparing for the migration.


### [Introducing Cloudflare Basin: an open, serverless data platform, now generally available](https://yomu.fyi/post/introducing-cloudflare-basin-an-open-serverless-data-platform-now-gene.md)
- Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md)
- Author: Micah Wylde
- Published: Oct 1, 2026
- Type: Announcement

Cloudflare announced the general availability of Basin, a serverless data analytics platform built on Apache Iceberg and R2 Object Storage. Basin consists of three integrated products: Pipelines for ingesting and transforming events via SQL, Catalog for managing Iceberg metadata and automatic table maintenance, and SQL for distributed querying. The platform emphasizes speed with instant resource creation and query execution, scalability through metadata compaction and statistics-driven query planning, and openness by supporting any Iceberg-compatible engine like DuckDB and Snowflake. Basin offers cost efficiency with zero egress fees and usage-based pricing, charging only when data is ingested, processed, or queried. Early adopters have used Basin for use cases including real-time e-commerce optimization, billing metrics storage, and infrastructure telemetry analysis.


### [Graph-centric agentic intelligence](https://yomu.fyi/post/graph-centric-agentic-intelligence.md)
- Company: [AWS](https://yomu.fyi/company/aws.md)
- Author: Imen Grida Ben Yahya, Nameet Dutia
- Published: Oct 1, 2026
- Type: Problem & solution

Graphs encode relationships and provide scaffolding for causal inference and compositional reasoning, which is essential for AI agents reasoning over complex networks. The post traces the evolution of graph intelligence from passive topology models to active agentic reasoning, culminating in a three-pillar approach for root cause analysis. The approach combines a continuously synchronized network digital twin graph with a cascaded pipeline of graph algorithms—decomposition, clustering, and centrality ranking—that narrow the search space. An agentic orchestration layer selects and composes these algorithms adaptively based on failure characteristics, performing complexity triage and consulting an incident knowledge base. The system achieved root cause analysis in minutes on commercial networks, demonstrated with NTT DOCOMO at MWC.


### [A New Agentic Experience: JetBrains Air in IDEs – EAP Now Open](https://yomu.fyi/post/a-new-agentic-experience-jetbrains-air-in-ides-eap-now-open.md)
- Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md)
- Author: Dominique Rolink
- Published: Oct 1, 2026
- Type: Announcement

JetBrains launched the Early Access Program for Air, an agentic experience in its IDEs available as a plugin or in 2026.3 EAP builds. Air orchestrates multiple AI agents in parallel, moving beyond the traditional AI chat model that JetBrains found insufficient for concurrent tasks. It acts as a conduit for existing agents like Codex, GitHub Copilot, Junie, and Claude, requiring no JetBrains AI subscription. The agentic-first UX organizes work into sessions with cost visibility, temporary worktrees, and local or cloud runs, with free Junie Lite for everyday tasks. Air ships with no agents installed, detects agents on the machine, and sends data directly to the user’s provider, while AI Assistant remains available as a separate plugin.


### [Modal Clusters are generally available](https://yomu.fyi/post/modal-clusters-are-generally-available.md)
- Company: [Modal](https://yomu.fyi/company/modal.md)
- Author: Peyton Walters
- Published: Oct 1, 2026
- Type: Announcement

Modal announced general availability of Modal Clusters, a serverless multi-node compute primitive for AI workloads that provides up to 6.4 Tbps InfiniBand RDMA per node with PyTorch and NCCL support. A new gang scheduler places N nodes simultaneously by observing the fleet, assigning all pending clusters, and provisioning capacity when needed. RDMA support is fully automated behind a single rdma=True flag, with Modal contributing RDMA support to the gVisor container runtime and upstreaming the changes. Customers like Decagon, 1x, and Runway use Clusters for trillion-parameter fine-tuning, pre-training home robot world models, and multi-node video inference respectively. Clusters are available to all workspaces today through the @modal.clustered decorator, with per-second billing and no reservation required.


### [How LinkedIn extended ClickHouse from distributed tracing to metric discovery and analytics](https://yomu.fyi/post/how-linkedin-extended-clickhouse-from-distributed-tracing-to-metric-di.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Oct 1, 2026
- Type: Problem & solution

LinkedIn’s observability team first deployed ClickHouse for distributed tracing, where even at 1% head sampling the system generates 0.8 trillion spans and 200 TB of uncompressed data per day across three data centers. They then extended ClickHouse to consolidate a legacy metric metadata system built on RRDtool semantics, which had grown into three separate services that had reached their scaling limits. The new single-shard ClickHouse index serves over 150,000 queries per minute with an average latency of 68 milliseconds across 13 billion-plus metrics with 30% daily turnover. Migrating off the legacy stack reduced memory use to roughly one-fifth and compute to about two-thirds, with enough headroom to double the metric volume. By exposing individual dimensions as columns, the index enables engineers to replace regex-heavy queries with efficient native ones, supporting the larger migration away from RRD semantics.


### [RustRover vs VS Code + rust-analyzer: What Changes in Your Rust Workflow](https://yomu.fyi/post/rustrover-vs-vs-code-rust-analyzer-what-changes-in-your-rust-workflow.md)
- Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md)
- Author: Irina Mihajlovic
- Published: Oct 1, 2026
- Type: Explainer

This post compares RustRover and VS Code with the rust-analyzer extension for Rust development, detailing their architectural differences. VS Code, a general-purpose editor, relies on the rust-analyzer language server to provide completion, diagnostics, inlay hints, navigation, quick-fixes, and refactoring. RustRover is a dedicated professional IDE using JetBrains’ own analysis engine that builds a model of crates, dependencies, targets, and code structure from the Cargo workspace, with built-in debugging, testing, and version control. Key differences include RustRover’s integrated debugger versus VS Code’s need for an extension like CodeLLDB, and RustRover’s project-wide refactoring with affected-usage review. AI assistant capabilities also differ, with RustRover offering agent-driven tasks through Air and JetBrains AI while VS Code supports inline suggestions and agent providers like Copilot. The post offers a five-step migration guide for VS Code users and concludes the choice depends on whether one prefers a modular editor or an integrated IDE experience.


### [Barclays scales Claude to upgrade operations and improve client experience](https://yomu.fyi/post/barclays-scales-claude-to-upgrade-operations-and-improve-client-experi.md)
- Company: [Anthropic](https://yomu.fyi/company/anthropic.md)
- Author: Anthropic
- Published: Oct 1, 2026
- Type: Announcement

Barclays, a British universal bank, is expanding its collaboration with Anthropic to integrate Claude across global operations, aiming to accelerate software development, modernize legacy systems, and improve efficiency. By end of 2026, Barclays expects Claude Code adoption to reach 50% of its developer population, rising to a majority of software engineers in 2027. A live example is the Colleague Knowledge Assistant, powered by Claude via a retrieval-augmented generation architecture since 2025, adopted by over 16,000 employees and handling over one million searches. In Global Markets, Claude models classify, enrich, and route approximately 120,000 client emails daily, reducing manual handling and helping staff prioritize requests. Barclays applies robust governance, security controls, and human oversight to ensure responsible AI deployment.


### [IP Functions are Generally Available, bringing high-performance network analytics to the Lakehouse](https://yomu.fyi/post/ip-functions-are-generally-available-bringing-high-performance-network.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Michael Andersen, Benjamin Mathew
- Published: Oct 1, 2026
- Type: Announcement

The announcement introduces the general availability of IP Functions, a feature that brings high-performance network analytics to the Lakehouse by enabling SQL-based processing of IP addresses. The post explains that IP data is warehousing data, as firewalls, load balancers, VPNs, CDN edges, DNS resolvers, Kubernetes clusters, and application servers emit streams of records keyed on IP addresses, generating tens of billions of events daily for large enterprises. These streams support valuable analytics such as threat detection, fraud investigation, and network governance. The post notes that network analytics used to be painful because IP addresses were deceptively hard to handle in SQL, with no regex support. The feature aims to simplify this by providing native IP functions for the Lakehouse.


### [ShopGym: Realistic, reproducible sandboxes for shopping agents (2026) - Shopify](https://yomu.fyi/post/shopgym-realistic-reproducible-sandboxes-for-shopping-agents-2026-shop.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: Mingyu Zhao
- Published: Oct 1, 2026
- Type: Explainer

ShopGym converts live storefronts into self-contained, resettable sandbox shops for training and evaluating shopping agents, addressing challenges from changing products and bot detection. Its ShopArena layer separates exploration from generation using anonymized specifications and coding agents with execution-verification loops that repair failures without regenerating the whole shop. ShopGuru then synthesizes benchmark tasks across seven skill categories using rule-based and LLM generators grounded in each shop’s catalog, navigation, and policies. Validation over 224 tasks across six shops, three synthetic and three real, showed synthetic shops retain key structural properties and agent performance positively correlates with live storefronts when tested with BrowserGym and an internal system. The framework aims to provide reproducible environments for agents to fail and learn before interacting with live stores, with plans to expand to more retail domains and task types.


### [Your customers don't want an AI friend. They want an answer.](https://yomu.fyi/post/your-customers-don-t-want-an-ai-friend-they-want-an-answer.md)
- Company: [Twilio](https://yomu.fyi/company/twilio.md)
- Author: Jesse Sumrak
- Published: Oct 1, 2026
- Type: Problem & solution

A Twilio survey of 660 business leaders and consumers reveals a gap: 98% of organizations train AI to act more human, yet customers rank issue resolution, speed, accuracy, and availability above personality. Only 54% of consumers want human-like AI, versus 73% of brands. Behaviors customers call empathetic—acknowledging the specific situation, offering multiple solutions, using conversational language, offering compensation—depend on personalization and context, not tone. 51% of consumers find AI robotic, and 39% of businesses cite weak emotional understanding as a top dissatisfaction driver. The report recommends prioritizing context and personalization over personality, using tools like Twilio Conversation Memory and Conversation Orchestrator to make agents useful before charming.


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