---
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

### [How to Rent a Car in Fayetteville, North Carolina](https://yomu.fyi/post/how-to-rent-a-car-in-fayetteville-north-carolina.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 15, 2026
- Type: Tutorial

Renting a car in Fayetteville, North Carolina, can provide mobility for airport arrivals, city-center work, local errands, and trips to surrounding areas. The guide describes using Uber Rent through the Uber app or online to book available sedans, SUVs, and other models from rental companies such as Budget, Hertz, and Avis, with availability varying by location. It recommends matching vehicle type and rental duration to the trip, while reviewing rates, mileage, and additional fees, then outlines reservation, pickup, payment, and drop-off steps. Renters must be at least 18, present a valid license matching the reservation, and bring a physical credit card in the primary driver's name; under-25 renters may pay a Young Driver Fee, and rental companies can offer insurance and protection plans.


### [How to Rent a Car in Spokane, Washington](https://yomu.fyi/post/how-to-rent-a-car-in-spokane-washington.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 15, 2026
- Type: Tutorial

Renting a car in Spokane can provide flexibility for city travel, work visits, longer stays, and drives to nearby destinations. Uber Rent lets travelers browse, compare, and book vehicles from rental companies in the Uber app or online, with options including compact cars, SUVs, and same-day or advance reservations. The booking flow covers entering pickup and drop-off details, completing payment either in advance or at the rental counter, collecting the vehicle with a valid driver’s license and physical card, and returning it to the stated location. The source says renters must be at least 18, while a Young Driver Fee may apply under 25; personal insurance is not required, though suppliers may offer protection plans, and requirements can vary by vehicle and supplier.


### [How to Rent a Car in Peoria, Arizona](https://yomu.fyi/post/how-to-rent-a-car-in-peoria-arizona.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 15, 2026
- Type: Tutorial

Renting a car in Peoria, Arizona, is presented as an option for local transportation, regional trips, and travel from Phoenix Sky Harbor International Airport (PHX). Uber Rent lets users compare and book vehicles from participating rental companies, including Budget, Hertz, and Avis, through the Uber app or online, although availability varies by location. The booking process covers entering pickup and dropoff details, reserving a vehicle, collecting it with a driver’s license and payment method, and returning it to the listed location; reservation details appear in the app and confirmation email. The source advises matching vehicle type and rental duration to the trip, reviewing base rates and extra fees, and checking requirements such as a minimum age of 18, a physical credit card in the primary driver’s name, and supplier-specific conditions.


### [How to Rent a Car in Bakersfield, California](https://yomu.fyi/post/how-to-rent-a-car-in-bakersfield-california.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Jun 15, 2026
- Type: Tutorial

Renting a car in Bakersfield can provide flexibility for city travel, trips beyond the city, airport arrivals through Meadows Field Airport (BFL), business stays, or extended visits. The guide describes using Uber Rent to browse, compare, and book vehicles from rental companies, with options ranging from sedans to SUVs and reservations available through the Uber app or online. It outlines choosing a vehicle based on trip purpose, space, rental duration, and budget, then covers reserving, picking up, and returning the car while keeping booking details in the app and confirmation email. Requirements include being at least 18, presenting a matching valid driver’s license and physical credit card, and reviewing supplier-specific conditions; personal car insurance is not required, though protection plans may be offered at pickup.


### [What is Document AI?](https://yomu.fyi/post/what-is-document-ai.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Databricks Staff
- Published: Jun 15, 2026
- Type: Explainer

Document AI uses machine learning, natural language processing (NLP) and optical character recognition (OCR) to extract, classify and understand information from structured, semi-structured and unstructured documents. Unlike OCR alone, it interprets layout and context, turning files such as invoices, contracts and emails into structured, actionable data through ingestion, OCR, layout parsing, entity extraction, classification, validation and, when needed, human review. Modern systems add large language models for summarization, document Q&A and zero-shot extraction, but hallucination risk makes validation and human oversight essential, particularly in regulated settings. The guide also describes Databricks Document Intelligence, which processes and stores documents alongside organizational data under Unity Catalog, using AI Functions, Variant and Lakeflow Jobs to create governed, queryable workflows without moving data between systems.


### [Product updates: VM Sandboxes, Lower latency routing, RBAC, and more](https://yomu.fyi/post/product-updates-vm-sandboxes-lower-latency-routing-rbac-and-more.md)
- Company: [Modal](https://yomu.fyi/company/modal.md)
- Published: Jun 15, 2026
- Type: Announcement

Modal also announced several product updates including VM Sandboxes in alpha, lower latency regional routing, and role-based access control. VM Sandboxes, currently in alpha, are a new VM runtime that runs a real Linux kernel, supporting Docker containers and Linux features like eBPF, systemd, cgroups, and custom filesystem mounts for better I/O performance. Regional routing lets Functions run in US West, EU West, or Asia Pacific South instead of default US East with a single setting, lowering latency and keeping data in-region. RBAC is now available for Team and Enterprise plans, with Environments as security boundaries and read-only defaults via Restricted Environments, tied into Audit Logs. Other updates include domain allowlisting, named images, volume subdirectory mounts, readiness probes, configurable snapshot TTLs with a 30-day default, SDK updates, and a partnership with Anthropic for Claude Managed Agents.


### [Teaching Sidekick to say no: automated data curation with LLM judge consensus](https://yomu.fyi/post/teaching-sidekick-to-say-no-automated-data-curation-with-llm-judge-con.md)
- Company: [Shopify](https://yomu.fyi/company/shopify.md)
- Author: 2023-10-18
- Published: Jun 15, 2026
- Type: Problem & solution

Sidekick’s customer-segmentation skill was fine-tuned on tens of thousands of successful, de-identified production queries, so it generated zero-result queries instead of refusing impossible requests such as finding customers by occupation. A small Toloka dataset of roughly 600 standard queries and 602 refusal annotations became a seed for four frontier LLM judges, which were calibrated against human-labeled examples and required to agree on both verdict and reasoning. The pipeline used mutually exclusive categories to resolve conflicting labels, filtered disagreements for human review, and fed accepted examples from later production traffic back into fine-tuning. With automated curation, the segmentation pass rate rose from 0.762 to 0.798 versus naive merging, while manual validation measured 86.3% refusal accuracy and a 4.6% false-positive rate. The resulting flywheel is being applied to other Sidekick skill models and data-quality problems.


### [Ten years of ClickHouse in open source](https://yomu.fyi/post/ten-years-of-clickhouse-in-open-source.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Jun 15, 2026
- Type: Explainer

ClickHouse’s tenth-anniversary history describes its path from an internal web-analytics experiment to an open-source analytical database with more than 2,000 contributors. The original problem was processing rapidly growing, real-time logs while answering flexible reports quickly; tested MySQL extensions and standalone analytical databases did not meet the stated scale of 100 billion records per day and 500 columns. The project built column-oriented storage, lightweight compression, custom aggregation structures, background merges, and query support for grouping, aggregation, filtering, and sorting. Released publicly on June 15, 2016, ClickHouse is presented as a level-three open-source project with public contribution guidelines, code review, testing, CI, documentation, and a roadmap, while contributors receive credit even when implementations are substantially rewritten.


### [Cisco Talos empowers threat researchers while reducing TCO by 75% with ClickHouse Cloud](https://yomu.fyi/post/cisco-talos-empowers-threat-researchers-while-reducing-tco-by-75-with.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Jun 15, 2026
- Type: Problem & solution

Cisco Talos operates a threat-intelligence reputation service that classifies file hashes from Cisco product telemetry, enabling researchers to make security decisions about benign and potentially malicious artifacts. Previously, a custom pipeline moved data from Databricks Delta and S3 through EKS, where staging and aggregated tables supported an API; the self-managed design retained about a petabyte of compressed, replicated data on 32 high-compute nodes. The team rebuilt the system in four phases, using Terraform, SSO/SAML, sharded ClickPipes for a 12-month backfill, shadow traffic, and a validated cutover to ClickHouse Cloud on AWS. The resulting architecture uses EventBridge, SQS, ClickPipes, SharedMergeTree, object storage, and AWS PrivateLink, delivering less than a minute of queue lag, zero data loss, a 100% response match across more than 1,000 hashes, zero downtime, roughly 90% lower storage costs, and about 75% lower TCO while reclaiming over 300 engineer hours annually.


### [How API changes flow into Stripe's developer products](https://yomu.fyi/post/how-api-changes-flow-into-stripe-s-developer-products.md)
- Company: [Stripe](https://yomu.fyi/company/stripe.md)
- Author: Mikael Mello
- Published: Jun 15, 2026
- Type: Explainer

Stripe describes how API changes are propagated across its developer-product suite, including SDKs in seven languages and three release channels, the CLI, Shell, API Explorer, API Reference, changelog, and internal tools. Historically, v1 workflows used OpenAPI or a Ruby-based DSL while v2 APIs used protobuf-based DSLs and an internal API specification, forcing teams to maintain parallel generators and leaving some products without v2 support. Stripe chose OpenAPI as a shared representation and built a pipeline whose generated artifacts are tailored by variant, release phase, and API version, with vendor extensions carrying Stripe-specific metadata. Automated validation, OpenAPI diffs, pre-release comparisons, versioned snapshots, and downstream publishing now connect API definition changes to documentation, code samples, SDK and CLI releases, while older v1 versions remain difficult to regenerate with newly added metadata.


### [Introducing Omnigent: A Meta-Harness to Combine, Control and Share Your Agents](https://yomu.fyi/post/introducing-omnigent-a-meta-harness-to-combine-control-and-share-your.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Matei Zaharia, Kasey Uhlenhuth, Corey Zumar
- Published: Jun 13, 2026
- Type: Announcement

Omnigent is an open-source meta-harness designed to combine, control, and share agents across different harnesses, models, and interfaces. Databricks says users currently juggle multiple agents and copy context between them, while builders struggle to combine or replace harnesses with incompatible interfaces. Its runner wraps terminal-based agents and SDKs in sandboxed sessions with a uniform API for messages, files, streamed text, and tool calls; a server adds policies, sharing, and access through terminal, web, mobile, native Mac OS, and APIs. Features include live collaboration, hosted sandbox execution, contextual security and cost policies, OS isolation, and multi-harness authoring. Released in alpha under Apache 2.0, Omnigent is intended to provide a durable layer above changing agents and harnesses.


### [Statement on the US government directive to suspend access to Fable 5 and Mythos 5](https://yomu.fyi/post/statement-on-the-us-government-directive-to-suspend-access-to-fable-5.md)
- Company: [Anthropic](https://yomu.fyi/company/anthropic.md)
- Published: Jun 13, 2026
- Type: Announcement

Anthropic says the US government issued an export-control directive requiring it to suspend Fable 5 and Mythos 5 access for every foreign national, including foreign-national Anthropic employees, inside or outside the United States. The directive arrived at 5:21 p.m. ET and did not specify the national-security concern; Anthropic says it understands the basis to be a potential narrow, non-universal jailbreak involving a request to inspect a codebase and fix software flaws. The company says it reviewed the underlying report, found only previously known minor vulnerabilities, and judged the demonstrated capability widely available from other models, including OpenAI’s GPT-5.5. Anthropic is complying by disabling both models for all customers and says it is working to restore access.


### [From Wall Street to Data Platforms](https://yomu.fyi/post/from-wall-street-to-data-platforms.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Andrea Fernández, Kim Hatton
- Published: Jun 13, 2026
- Type: Explainer

Kim Hatton, Databricks’ Global Financial Services Marketing Leader, describes how two decades in regulated financial-services marketing led her toward technology and data-centered strategy. She says financial institutions still need to unlock value while navigating compliance, but their divisions and systems make a unified customer view difficult. Her account points to Unity Catalog’s unified governance and single source of truth for breaking down silos and supporting requirements including GDPR, customer identity, and sensitive workloads. It also describes Lakebase’s separation of compute and storage for faster ML/AI agent experimentation, alongside Genie’s plain-language data analysis, which can reduce work that otherwise takes months and expensive third parties. Hatton connects these tools with faster, more confident marketing and accurate decision-making in regulated workflows, while also describing Databricks’ inclusive, high-energy culture.


### [What is enterprise intelligence?](https://yomu.fyi/post/what-is-enterprise-intelligence.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Databricks Staff
- Published: Jun 12, 2026
- Type: Explainer

Enterprise intelligence (EI) is presented as an organization-wide capability combining business intelligence, knowledge management, enterprise search and AI to turn structured and unstructured data into decisions and actions. Unlike traditional BI, which centers on dashboards, reports and structured data, EI connects these capabilities through a shared architecture and governed business context. The described stack includes a lakehouse-based data foundation, batch and streaming pipelines, governance, semantics, analytics, search, machine learning, generative AI and a decision layer. Shared definitions such as “active customer” and “monthly revenue” are intended to keep dashboards, queries and AI agents aligned, while maintained context addresses knowledge that becomes stale as the business changes. The result described is a common trusted source from which people, applications and agents can produce insights and initiate actions.


### [ClickHouse achieves AWS Retail Competency](https://yomu.fyi/post/clickhouse-achieves-aws-retail-competency.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Published: Jun 12, 2026
- Type: Announcement

ClickHouse has achieved the AWS Retail Competency in the Advanced Data Insights category, a designation recognizing validated technical expertise and demonstrated customer success in retail real-time analytics. Retail workloads described here combine high-volume, high-cardinality, high-concurrency data with hard freshness requirements, including inventory, pricing, personalization, and peak seasonal demand. The post attributes the platform's fit to compressed columnar storage, parallel queries, continuous Kafka and Amazon S3 ingestion through ClickPipes, compute-compute separation, and AWS support for private networking, multi-region deployment, and Marketplace billing. Examples include Mercado Libre's 90-TB-per-day observability ingestion and trace lookups reduced from 15–20 minutes to about two seconds, while other customers report cost, speed, and analyst-efficiency gains.


### [How Dropbox uses MCP and Dash to close the design-to-code security gap](https://yomu.fyi/post/how-dropbox-uses-mcp-and-dash-to-close-the-design-to-code-security-gap.md)
- Company: [Dropbox](https://yomu.fyi/company/dropbox.md)
- Author: Ilya Yakovlev,Andrew Cheung,Binoy Dash,Simran Jumani,Dmitriy Meyerzon,Mark Breitenbach,Ishan Mishra
- Published: Jun 12, 2026

Dropbox developed a system using the Model Context Protocol (MCP) and Dash's semantic search to bridge the gap between security threat models and code implementation. By retrieving original security documents during pull requests, an LLM agent automatically evaluates whether the proposed code adheres to previously agreed-upon security requirements. This approach surfaces design regressions and missing controls that traditional static analysis tools miss.


### [Enabling Evolutionary Database Development: Database branching with Lakebase, the conclusion](https://yomu.fyi/post/enabling-evolutionary-database-development-database-branching-with-lak.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Pramod Sadalage, Kevin Hartman
- Published: Jun 12, 2026
- Type: Explainer

The post concludes a series on how copy-on-write database branching in Databricks Lakebase changes team-scale evolutionary database development without changing its underlying methodology. For a team of fifty developers, long-running tier branches and ephemeral feature branches form a parent-linked promotion hierarchy, replacing separately provisioned environment instances and enabling promotion by merge, rollback by repoint, and computable schema divergence. Governance is declared once and inherited per branch, with policies intended to prevent transitions that contradict the parent chain; Unity Catalog captures metadata for attribution and audit. The DBA's role becomes platform engineering, while agents operate inside an executable SCM state machine with documented inputs, outputs, schema validation, and enforced gates. An optional TDD layer adds dedicated roles, acceptance-criterion scenarios, RED-GREEN-REFACTOR cycles, and artifact contracts, and the conclusion presents the resulting workflow as operational for human and agent practitioners.


### [Results from first Anthropic Public Record](https://yomu.fyi/post/results-from-first-anthropic-public-record.md)
- Company: [Anthropic](https://yomu.fyi/company/anthropic.md)
- Published: Jun 12, 2026
- Type: Explainer

Anthropic’s first Public Record survey measures how Americans viewed AI in November and December 2025, using a nationally representative online sample of 51,993 people aged 16 and over. Respondents most often hoped AI would help cure diseases (48%), while job loss was the leading concern (64%), followed by cognitive dependency (56%) and misinformation (52%). More than 70% supported government involvement in AI, especially around privacy, child safety, and liability, but only 15% trusted AI companies to decide how AI should be developed and used. The results describe broad agreement across partisan, geographic, and educational groups, with differences usually reflecting intensity rather than direction; Anthropic says the survey will be repeated to track changing attitudes as capabilities and adoption develop.


### [Talk to all your data, wherever it lives](https://yomu.fyi/post/talk-to-all-your-data-wherever-it-lives.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: John Spencer
- Published: Jun 12, 2026
- Type: Tutorial

Lakehouse Federation addresses the challenge of reasoning across enterprise data spread among AWS Glue, Snowflake, Oracle, BigQuery, Postgres, and legacy formats without first migrating it. By connecting external sources in place and syncing their metadata into Unity Catalog, Databricks applies shared permissions, lineage, and access controls while preserving source data. Federated comments and descriptions give Genie schema context, while Unity Catalog Semantics lets teams define governed metrics such as ROI once for consistent use across Genie, dashboards, and notebooks. The example connects an AWS Glue marketing database, carries its metadata, defines an ROI metric view, and asks Genie which campaigns led ROI last quarter. The post reports an immediate, accurate answer from live Glue data, and describes planned richer semantics, broader federation, and possible performance gains from managed tables.


### [Better, faster, less wrong: Enhancing issue grouping](https://yomu.fyi/post/better-faster-less-wrong-enhancing-issue-grouping.md)
- Company: [Sentry](https://yomu.fyi/company/sentry.md)
- Author: Kush Dubey, Yuval Mandelboum
- Published: Jun 12, 2026
- Type: Problem & solution

Sentry upgraded its AI-driven issue grouping system to better prevent duplicate issues without merging distinct application errors. The team trained lightonai/modernbert-embed-large using Matryoshka Representation Learning on hundreds of thousands of stacktrace pairs labeled by Claude Sonnet 4.5. To optimize the high-throughput ingestion pipeline, embeddings were truncated from 768 to 64 dimensions, combined with bfloat16 precision, PyTorch SDPA, and CUDA graph compilation. A phased live rollout used threshold-gated index backfilling and automatic fallback to prevent issue spikes during migration. In production, the v2 model cuts the overgrouping rate from 8% to 4%, increases prevented duplicate issues to 70%, and delivers 6x faster inference.


[Newer posts](https://yomu.fyi/posts/page/113.md) · [Older posts](https://yomu.fyi/posts/page/115.md)