--- 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 We Moved 1,500 Android Screenshot Tests to Roborazzi](https://yomu.fyi/post/how-we-moved-1-500-android-screenshot-tests-to-roborazzi.md) - Company: [Thumbtack](https://yomu.fyi/company/thumbtack.md) - Author: Zachary Wander - Published: Aug 8, 2026 - Type: Problem & solution Thumbtack migrated 1,500 Android screenshot tests from Firebase Test Lab to Roborazzi to eliminate slow and error-prone testing on remote emulators. The engineering team ported test suites from androidTest to test in batches of 20, adjusting test rules and annotations for Robolectric. Because Roborazzi runs in a single JVM process with parallel execution, the team had to debug shared font cache pollution and cross-platform shadow rendering inconsistencies between macOS and Debian. They resolved configuration repetition by mapping Robolectric annotations into module-level robolectric.properties files and avoided stale cached images by clearing Roborazzi's cache via a custom Gradle task. The migration significantly decreased CI runtimes while making local test recording and verification easier. ### [How and Why Netflix Built a Real-Time Distributed Graph: Part 3 — Querying the graph with gRPC…](https://yomu.fyi/post/how-and-why-netflix-built-a-real-time-distributed-graph-part-3-queryin.md) - Company: [Netflix](https://yomu.fyi/company/netflix.md) - Author: Netflix Technology Blog - Published: Aug 7, 2026 - Type: Problem & solution Netflix designed a query execution serving layer for its Real-Time Distributed Graph to power sub-100ms responses across diverse graph traversal workloads spanning billions of nodes and edges. To prevent compounding network delays in multi-hop queries, the engine uses a breadth-first traversal model that batches entity lookups across entire frontier levels rather than tracing paths depth-first. The entire serving architecture relies on asynchronous composition across small thread pools of 16 to 24 threads, ensuring no thread blocks while waiting on remote storage or enrichment I/O. Selective caching via EVCache targets stable properties with volatility-matched TTLs, producing 70 to 80 percent cache hit rates and reducing backend storage calls by three to four times. A layered filtering hierarchy pushes depth and edge limits directly to the storage tier, eliminating bespoke code changes while isolating system resources against excessive fan-out. ### [Unveiling good and bad behaviors on the Agentic Internet](https://yomu.fyi/post/unveiling-good-and-bad-behaviors-on-the-agentic-internet.md) - Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md) - Author: Jin-Hee Lee - Published: Aug 7, 2026 - Type: Explainer Web traffic increasingly shifts between human interaction and automated agents, rendering point-in-time security checks ineffective against sophisticated automation. Cloudflare addresses this shift through continuous behavioral analysis designed to evaluate trust across entire user sessions rather than relying on static point-in-time hurdles. Its CDN-injected client-side system, Precursor, tracks continuous behavioral indicators like cursor movements to catch mid-session automated takeovers. To counter rapid bot adaptation, Cloudflare is introducing self-adjusting machine learning models under Adaptive Intelligence and non-deterministic defenses such as the AI Labyrinth. These tools allow site owners to poison scraper training data, trap crawlers in synthetic webs, or queue legitimate agents while dynamically penalizing abusive traffic. ### [Introducing Radar Researcher: An AI tool for exploring Internet data in plain language](https://yomu.fyi/post/introducing-radar-researcher-an-ai-tool-for-exploring-internet-data-in.md) - Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md) - Author: Lai Yi Ohlsen - Published: Aug 7, 2026 - Type: Announcement Cloudflare launched the beta of Radar Researcher, an AI tool designed to let users explore global Internet traffic data using plain-language queries. Built entirely on Cloudflare's developer platform, the system uses the Cloudflare Agents SDK within a Cloudflare Worker, maintaining conversation state and SQLite databases inside Durable Objects. The inference layer relies on Workers AI running models like Kimi K2.7 through an ordered fallback chain across three model families to prevent outages, routed via AI Gateway for logging, caching, and guardrails. Radar's frontend renders retrieved data using its existing native interactive charts, while smaller dedicated models generate conversation titles and follow-up suggestions asynchronously. Additionally, Radar introduced support for the WebMCP standard, exposing imperative and declarative tools to allow external browser agents to navigate and interact with the platform directly. ### [Announcing Cloudflare Ambassadors, Community Engineers, and another $1M in open-source funding](https://yomu.fyi/post/announcing-cloudflare-ambassadors-community-engineers-and-another-1m-i.md) - Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md) - Author: Kristian Freeman - Published: Aug 7, 2026 - Type: Announcement Cloudflare introduced an updated community initiative featuring two tracks: Cloudflare Ambassadors and Cloudflare Community Engineers. The Ambassador program selects community leaders for terms lasting up to two years to organize events, lead student groups, and create learning spaces with company-provided credits, resources, and marketing assets. The Community Engineer track offers grants from a new one million dollar open-source fund spanning the next two years to support maintainers of projects such as Astro, Agents SDK, EmDash, Hono, and Vinext. To maintain its Discord server of nearly 100,000 members, a new Discord committee composed of staff and Ambassadors will guide community discussions while automated spam protections handle routine moderation. ### [Unifying Workers AI and AI Gateway into a single AI control plane](https://yomu.fyi/post/unifying-workers-ai-and-ai-gateway-into-a-single-ai-control-plane.md) - Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md) - Author: Michelle Chen - Published: Aug 7, 2026 - Type: Announcement Workers AI and AI Gateway are converging into a unified AI control plane to simplify model access, billing, and observability. Developers can now access both services through a single entrypoint using unified Workers bindings and the /ai/ REST endpoint. Specifying a default gateway automatically instruments requests with payload logging, token tracking, and cost attribution without manual dashboard setup. Cloudflare has also rolled out unified prepaid billing, allowing teams to spend AI Gateway credits on Workers AI models while unlocking higher rate limits. Planned future features include model-first routing for automated provider failover and smart routing powered by task classifiers on Workers AI. ### [Managing AI Coding Costs at Scale](https://yomu.fyi/post/managing-ai-coding-costs-at-scale.md) - Company: [Databricks](https://yomu.fyi/company/databricks.md) - Author: Patrick Wendell, Akshat Bhatia, Vinay Gaba, Erich Elsen, Ivan Zhou - Published: Aug 7, 2026 - Type: Explainer AI coding tools have improved velocity metrics at Databricks, but broad deployment creates exponentially growing costs that can threaten the efficiency gains they deliver. The post presents a cost-management playbook aimed at preserving broad, low-friction access while keeping aggregate spending within a roughly fixed per-user envelope. It emphasizes the coding-model efficiency frontier, automated evaluations of internal workloads, model-flexible harnesses or meta-harnesses, and request- or task-level routing to the cheapest capable model. Databricks reports that Unity AI Gateway Smart Router reduced average task cost by more than 30% while roughly matching the most expensive model’s quality, and that harness and caching changes cut generated tokens and associated costs by almost 50% without observed quality degradation. The proposed AI Gateway centralizes model access, budget policies, tool configuration, and coding-session traces for ongoing optimization. ### [What is an AI Assistant?](https://yomu.fyi/post/what-is-an-ai-assistant.md) - Company: [Databricks](https://yomu.fyi/company/databricks.md) - Author: Databricks Staff - Published: Aug 7, 2026 - Type: Explainer AI assistants are software systems that use language models, data retrieval, and reasoning to understand natural-language requests and return information or perform tasks. For enterprise data teams, they can generate SQL, build dashboards, troubleshoot pipelines, and automate repetitive work, but their usefulness depends on integration with data catalogs and governance rather than generic text generation alone. The described pipeline captures input, parses intent and context, retrieves knowledge, generates an output, and either delivers it for review or executes an action; advanced systems incorporate tool and API use plus feedback from corrections and approvals. The article categorizes assistants as voice, conversational, general-purpose, domain-specific, data and developer, or autonomous agents, while noting risks including hallucinations, privacy exposure, integration complexity, over-reliance, and bias. It presents assistants as augmenting human work through faster, more accessible, and more scalable decision support, not replacing human oversight. ### [Which brand won the football tournament footwear battle](https://yomu.fyi/post/which-brand-won-the-football-tournament-footwear-battle.md) - Company: [Brandwatch](https://yomu.fyi/company/brandwatch.md) - Author: Ksenia Newton - Published: Aug 7, 2026 - Type: Benchmark An analysis of footwear conversations around the 2026 World Cup compares how sponsorship, search demand, social attention, and sentiment shaped the competition between Adidas, Nike, Puma, New Balance, and other brands. Consumer Research tracked tournament-related mentions from June 11 to July 19 and paired them with search queries across the US, UK, and Canada. Adidas led tournament-specific footwear conversation with 63% of mentions, while Nike led broader brand discussion with 995k mentions, brand search momentum, and 78% positive sentiment. Nike’s cultural activations, including LISA’s “Rip The Script” campaign and Ronaldo’s Mercurial moments, generated shareable attention, whereas Adidas benefited from official sponsorship, the Trionda match ball, and player storytelling. Pink cleats became a cross-brand liability, attracting more than 5.5k mentions with nearly 70% negative sentiment, showing that visibility did not automatically produce favorable attention. ### [Supabase is now a connector on Perplexity Computer](https://yomu.fyi/post/supabase-is-now-a-connector-on-perplexity-computer.md) - Company: [Supabase](https://yomu.fyi/company/supabase.md) - Author: natalie\_roberge - Published: Aug 7, 2026 - Type: Announcement Supabase is now available as a connector on Perplexity Computer, allowing the agent to use a Supabase project as a persistent data layer across runs. Computer can read from and write to Postgres tables, answer questions by running queries, retrieve user and payment data for support debugging, and invoke Edge Functions with test payloads. Recurring queries can be scheduled, with results posted to Slack, while workflows can combine Supabase data with Stripe events and route fixes through GitHub pull requests. The announcement presents the connector as a way to keep database work inside Computer’s multi-step workflows across more than 400 apps, without custom glue code. ### [Agentic payments for marketplaces: How a smart fridge can shop safely](https://yomu.fyi/post/agentic-payments-for-marketplaces-how-a-smart-fridge-can-shop-safely.md) - Company: [Stripe](https://yomu.fyi/company/stripe.md) - Author: Ana Andres - Published: Aug 7, 2026 - Type: Explainer GreenMart’s smart-fridge scenario addresses how an agent can turn a detected grocery need into an authorized order without receiving unrestricted access to household card or wallet credentials. GreenMart uses Stripe Agentic Commerce Suite to expose its catalog and checkout through a hosted Agentic Commerce Protocol (ACP) endpoint, while retaining responsibility for inventory, pricing, fulfillment, and order operations. A fridge agent discovers products and creates a checkout, and a companion app evaluates the final checkout against deterministic household rules covering items, totals, delivery, substitutions, and budgets. After approval, Link can provide bounded payment authority, while direct Shared Payment Tokens (SPTs) support lower-level Stripe integrations; virtual cards are described for eligible non-Stripe merchants. The design emphasizes auditable policy decisions, explicit escalation or denial, idempotent retries, webhook reconciliation, and stopping when changes exceed the household’s authority. ### [What are Agentic Workflows?](https://yomu.fyi/post/what-are-agentic-workflows.md) - Company: [Databricks](https://yomu.fyi/company/databricks.md) - Author: Databricks Staff - Published: Aug 6, 2026 - Type: Explainer Agentic workflows are AI-driven processes that let one or more agents plan, execute, and refine multi-step tasks toward a defined goal with minimal human intervention. Unlike chatbots and fixed automation, they evaluate context and intermediate results at runtime, gather data, select tools dynamically, and adapt when outcomes are incomplete, incorrect, ambiguous, or unexpected. The described pattern combines agents and LLMs with APIs, databases, code executors, prompts, feedback mechanisms, memory and state management, and, for complex work, coordinated specialized agents. Production reliability depends on clear success criteria, action guardrails, human review points for high-stakes actions, audit trails, governance, and production-grade infrastructure. Examples include customer-service resolution, fraud investigation, supply-chain optimization, and event-driven document processing across systems. ### [What is Tool Calling?](https://yomu.fyi/post/what-is-tool-calling.md) - Company: [Databricks](https://yomu.fyi/company/databricks.md) - Author: Databricks Staff - Published: Aug 6, 2026 - Type: Explainer Tool calling lets an AI model interact with external tools, APIs, and systems to retrieve information or perform actions beyond its training data, turning a conversational model into an agent that can act. The process is an application-mediated loop: the model recognizes when outside help is needed, selects a tool from schema-described options, emits a structured request—typically JSON—and receives the result as context for its response or next step. Available tools can support information retrieval, code execution, process automation, and smart-device or IoT monitoring, while complex tasks may chain multiple calls into a workflow. The piece also distinguishes tool calling from function calling, describing the latter as a subset, and presents MCP as a standardization layer for describing, discovering, and invoking tools, with Databricks Agent Bricks offering governed integrations and agent-development support. ### [Uber Advertising Launches New Marketing Solutions for Restaurants](https://yomu.fyi/post/uber-advertising-launches-new-marketing-solutions-for-restaurants.md) - Company: [Uber](https://yomu.fyi/company/uber.md) - Published: Aug 6, 2026 - Type: Announcement Uber Advertising is introducing Deal Drops and Reorder Rewards, two marketing solutions for restaurants designed around customers’ real-time ordering decisions. Deal Drops let participating restaurants run special offers for one hour before select cultural events, with in-app and push notifications, home feed placement, a dedicated hub, and optional inventory limits that add urgency. Reorder Rewards give customers a surprise reward after an order for their next purchase, keep it visible for a limited time, and apply it at checkout without extra steps. Uber says early global results showed restaurants using Reorder Rewards saw about a 5.5% average sales increase compared with what they would have earned without them, based on aggregate advertiser data from September through November 2025, not a guarantee. Together, these tools target high-intent event decisions and post-purchase re-engagement, with the stated aim of turning attention into action and one-time orders into stronger customer relationships. ### [What's new in ClickHouse Managed Postgres: Customer notifications, better observability, faster backups, extensions, and more](https://yomu.fyi/post/what-s-new-in-clickhouse-managed-postgres-customer-notifications-bette.md) - Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md) - Published: Aug 6, 2026 - Type: Announcement ClickHouse reports a set of updates to its Managed Postgres beta, aimed at simplifying onboarding and advancing its unified Postgres-and-ClickHouse data stack. The redesigned flow supports sample-data loading or PostgreSQL migration through ClickPipes, built-in SQL exploration, replication to ClickHouse, and cross-system queries through pg\_clickhouse; services also notify users when disk usage remains above 85%, with console, email, and optional Slack channels. Observability now includes searchable PostgreSQL logs, CPU, memory, disk, IOPS, connection and per-table metrics, query insights, a Prometheus-compatible /metrics endpoint, and an OpenAPI slow-query API. Backups use more CPU and disk throughput on larger servers, making backup and restore times predictable even on 10+ TB servers, while extensions add pg\_re2 and improvements to pg\_clickhouse and pg\_stat\_ch, including regex pushdown, Arrow batching, sampling, and safer worker exits; Google Cloud Platform availability and further maintenance, configuration, and integration work are planned. ### [Introducing OfficeQA Pro V2: A New Benchmark for Enterprise Grounded-Reasoning](https://yomu.fyi/post/introducing-officeqa-pro-v2-a-new-benchmark-for-enterprise-grounded-re.md) - Company: [Databricks](https://yomu.fyi/company/databricks.md) - Author: Databricks AI Research Team - Published: Aug 6, 2026 - Type: Benchmark OfficeQA Pro V2 benchmarks whether AI agents generalize grounded reasoning to unfamiliar enterprise document collections rather than specialize in one corpus or task distribution. It contains 90 questions grounded in roughly 120,000 pages of U.S. Treasury accounting records spanning 1793–2024, including dense tables, charts, revised values, and changing reporting conventions. Questions were generated with asynth from seeded inputs, corpus evidence searches, traceable reasoning, and quality gates, then evaluated with deterministic exact match at 0.0% tolerance. Out-of-the-box frontier agents averaged 37.5% in one matched comparison, while competition systems averaged 41.1% and the winning team reached 63.3%; Databricks Genie raised matched-model accuracy by 24.0 percentage points on average, although failures remained in parsing, temporal reconciliation, and entity or category interpretation. ### [Kimi K3 from Moonshot AI is now available on Databricks through Unity AI Gateway](https://yomu.fyi/post/kimi-k3-from-moonshot-ai-is-now-available-on-databricks-through-unity.md) - Company: [Databricks](https://yomu.fyi/company/databricks.md) - Author: The Databricks Engineering Team - Published: Aug 6, 2026 - Type: Announcement Kimi K3 from Moonshot AI is now available on Databricks through the Foundation Model API and Unity AI Gateway, giving customers native access to an open-weight model alongside proprietary models from Anthropic, OpenAI, and Google Gemini. The announcement positions Kimi K3 as a frontier-quality option for coding, agentic reasoning, and document understanding, with deployment flexibility, customizability, and zero data retention coverage. Databricks says the model runs against governed enterprise data through Unity Catalog, while Unity AI Gateway provides permissions, safety guardrails, audit trails, spend controls, routing, and a standardized REST API within Databricks’ security perimeter. The post cites a score of 57 and rank of #4 in Artificial Analysis’ Intelligence Index, internal benchmarks showing performance at the level of leading proprietary models, and 50–72% lower cost per task; availability includes US hosting for AWS and GCP workspaces. ### [Cloudflare AI Search: give your agents a search engine for your data](https://yomu.fyi/post/cloudflare-ai-search-give-your-agents-a-search-engine-for-your-data.md) - Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md) - Author: Nelson Duarte - Published: Aug 6, 2026 - Type: Announcement Cloudflare introduced developer experience improvements and a preview pricing model for Cloudflare AI Search. Previously, users had to manually connect separate Cloudflare primitives like Workers AI, AI Gateway, Vectorize, R2, and Browser Run to build a search solution. The platform now automates crawling, ingestion, embedding, and retrieval across structured and unstructured data sources. Developers can index sites without sitemaps using link discovery, expose public /search and /mcp endpoints across namespaces, bind search instances directly to Workers, or secure endpoints with Cloudflare Access. Cloudflare uses this system for developer documentation, its corporate blog, and the Cloudflare Dev Stack MCP server to supply coding agents with cited documentation. ### [The next generation of MCP](https://yomu.fyi/post/the-next-generation-of-mcp.md) - Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md) - Author: Matt Carey - Published: Aug 6, 2026 - Type: Announcement Model Context Protocol previously required stateful connections between clients and remote servers, creating operational complexity around sticky sessions, message replay, and open streams. The newly released MCP 2026-07-28 specification transitions MCP to a fully stateless protocol alongside updated SDKs across TypeScript, Python, Go, and C#. The protocol eliminates mandatory handshakes and session identifiers from core request paths while enabling servers to run on request-scoped infrastructure like Cloudflare Workers. Interactive elicitation is restructured through Multi Round-Trip Requests, which allow servers to return input requirements without sustaining persistent connections. Standardized headers for method names and improved OAuth authorization mechanisms further enable standard web infrastructure to inspect and manage MCP traffic efficiently. ### [From ranking to recommended: get your site ready to thrive in the age of AI agents](https://yomu.fyi/post/from-ranking-to-recommended-get-your-site-ready-to-thrive-in-the-age-o.md) - Company: [Cloudflare](https://yomu.fyi/company/cloudflare.md) - Author: Matthew Conroy - Published: Aug 6, 2026 - Type: Announcement Discoverability is shifting from traditional search engine rankings to recommendations generated by AI agents acting on behalf of users. To address this shift, Cloudflare integrated Agent Readiness diagnostics and an Answer Engine Optimization tool into its dashboard. The Diagnostics feature evaluates hostnames against machine-readable standards across tiers ranging from robots.txt and Markdown rendering to OAuth discovery and agent payment protocols. Simultaneously, the Answer Engine Optimization tool measures how frequently leading assistants like Claude and GPT cite, mention, and prominently position brands across industry categories. By evaluating prompt responses using Cloudflare AI Gateway and Workers AI alongside access logs, site owners can systematically track agent traffic, benchmark against competitors, and remediate crawl blockers. [Newer posts](https://yomu.fyi/posts/page/80.md) · [Older posts](https://yomu.fyi/posts/page/82.md)