---
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

### [Finance Trends 2026: Free Trials, BNPL, and Revoked Benefits](https://yomu.fyi/post/finance-trends-2026-free-trials-bnpl-and-revoked-benefits.md)
- Company: [Brandwatch](https://yomu.fyi/company/brandwatch.md)
- Author: Ksenia Newton
- Published: Apr 7, 2026
- Type: Explainer

Brandwatch Consumer Research examined finance-related online conversations and found that negativity is increasing, with negative mentions up 21% between March 1, 2025, and March 1, 2026. The analysis identifies three major sources of frustration: free trials that convert into subscriptions through unclear pricing or cancellation practices, brands removing or replacing previously free benefits, and buy-now-pay-later (BNPL) services associated with overspending, debt, and financial stress. Mentions of free trials rose 45%, denied-refund mentions in those discussions rose 107%, benefit downgrades or removals rose 19%, and BNPL’s negative sentiment increased almost 600%. Drawing on 609 million conversations from social media, forums, review sites, and blogs over 12 months, the report recommends consent, advance notice, customer education, and financial-literacy support.


### [ClickHouse Release 26.3](https://yomu.fyi/post/clickhouse-release-26-3.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Author: ClickHouse
- Published: Apr 7, 2026
- Type: Announcement

ClickHouse 26.3 delivers twenty-seven new features, forty performance optimizations, and over two hundred bug fixes. Common table expressions can now be materialized into temporary tables via the MATERIALIZED clause when enabled, evaluating subqueries once to reduce query execution times and peak memory usage. The query optimizer expands join reordering beyond inner and left or right joins to include anti, semi, and full joins when table statistics are available. In addition, user-defined functions can run compiled WebAssembly code inside sandboxed Wasmtime runtimes. Storage for the Map data type also introduces hash-based bucketing during background merges, accelerating single-key lookups by two to forty-nine times without slowing initial inserts.


### [Zero downtime Upgrade: Yelp’s Cassandra 4.x Upgrade Story](https://yomu.fyi/post/zero-downtime-upgrade-yelp-s-cassandra-4-x-upgrade-story.md)
- Company: [Yelp](https://yomu.fyi/company/yelp.md)
- Author: Mark Surnin and Muhammad Junaid Muzammil, Software Engineer
- Published: Apr 7, 2026
- Type: Problem & solution

Yelp's Database Reliability Engineering team upgraded over a thousand Cassandra nodes from version 3.11 to 4.1 without downtime. The upgrade delivered reliability, observability, and performance improvements, including Java 11 support, configurable guardrails, and fixed incremental repairs. To avoid the high costs, consistency compromises, and data streaming delays of standing up separate datacenters, the team selected an in-place rolling upgrade strategy. The rollout orchestrated staged node updates alongside compatible versions of the Stargate proxy and custom data pipeline connectors without requiring client code modifications. Although Stargate 2.x introduced regressions on range and multi-partition queries that required downgrading to 1.x, the finished migration achieved up to a 58% reduction in p99 latency across key clusters.


### [Mobility for all: How Uber supports Los Angeles’s vision of universal basic mobility](https://yomu.fyi/post/mobility-for-all-how-uber-supports-los-angeles-s-vision-of-universal-b.md)
- Company: [Uber](https://yomu.fyi/company/uber.md)
- Published: Apr 6, 2026
- Type: Explainer

Los Angeles’s Mobility Wallet pilot provides low-income residents with funds for shared transportation, including Uber rides, as part of Universal Basic Mobility initiatives. Phase I ran from May 2023 to April 2024 and gave 1,000 South Los Angeles residents a monthly $150 stipend on prepaid cards usable for transit, bikes, e-scooters, regional travel, and ride-hailing. Participants reported improved quality of life, citing redirected transportation spending for bills, school supplies, social activities, and savings, along with reduced financial stress and improved mental health. During the phase, participants took more than 7,600 Uber rides to reach fixed transit, appointments, homes after late shifts, or social events. Phase II began in fall 2024 and expanded eligibility to 2,000 participants across LA County, offering up to $1,800 over 12 months and Uber vouchers, while results remain forthcoming.


### [Frontend Engineering at Palantir: Building a Backend-less Cross-Application API](https://yomu.fyi/post/frontend-engineering-at-palantir-building-a-backend-less-cross-applica.md)
- Company: [Palantir](https://yomu.fyi/company/palantir.md)
- Author: Palantir
- Published: Apr 6, 2026
- Type: Explainer

Palantir’s Application Frameworks team builds the “backend of the frontend”: frameworks that let applications communicate during workflows spanning multiple interfaces. The work addresses environments with denied, disrupted, intermittent, or limited (DDIL) connectivity, where relying on backend services can introduce unreliable latency. The team generalized the Gaia Controller prototype into Shared State, which lets applications define named data models and exchange updates organized by Media Type, and Commands, which exposes arbitrary logic through command IDs and request objects that return responses. Both frameworks use frontend-only browser APIs for client-side interaction, support workflows such as pairing Gaia with Workshop, and are also being used as tools by AIP agents; the post says adoption is growing across Palantir.


### [How Respan is scaling LLM observability with ClickHouse Cloud](https://yomu.fyi/post/how-respan-is-scaling-llm-observability-with-clickhouse-cloud.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Author: ClickHouse
- Published: Apr 6, 2026
- Type: Problem & solution

Respan scaled its LLM gateway and observability platform from hundreds of daily requests to 50 million daily events, causing its original Django and Postgres architecture to stall under transaction contention at 50 to 100 requests per second. To overcome Postgres write-ahead logging bottlenecks, the team migrated the ingestion and analytics pipelines to ClickHouse Cloud. Engineers minimized row sizes by truncating large prompt text and writing structured metrics to MergeTree tables, then built incremental minute- and hour-level materialized views alongside scheduled refreshable views for user metadata. Distributed tracing spans are ingested asynchronously with analytical parent-child resolution, utilizing functions like argMax rather than the FINAL modifier to prevent costly table merges. This architectural shift allows Respan to achieve sub-second search across tens of millions of records and support customer dashboards with predictable query performance.


### [Better MoE model inference with warp decode](https://yomu.fyi/post/better-moe-model-inference-with-warp-decode.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Less Wright, Federico Cassano & Zhiyuan Zhang
- Published: Apr 6, 2026
- Type: Benchmark

MoE inference commonly organizes decode around experts, but the post describes “warp decode,” an output-centric kernel for small-batch generation on NVIDIA Blackwell GPUs. Instead of staging tokens into expert-major buffers, each warp owns one output scalar, streams the required weight rows, accumulates contributions from all eight routed experts in FP32, and uses warp-level reductions; the gate/up and down projections are compressed into two kernels. This removes padding, scatter, combine, activation gather, and per-expert output buffers, while keeping BF16 activations and avoiding intermediate quantization. On B200s, the approach delivered 1.84x higher decode throughput, sustained 3.95 TB/s at batch size 32, and produced outputs 1.4x closer to a full FP32 reference.


### [Never stop disrupting yourself; introducing the Fin API platform](https://yomu.fyi/post/never-stop-disrupting-yourself-introducing-the-fin-api-platform.md)
- Company: [Intercom](https://yomu.fyi/company/intercom.md)
- Author: Eoghan McCabe
- Published: Apr 2, 2026
- Type: Announcement

Fin API platform launch makes the models powering its customer-agent system available through APIs, with contracts starting at $250k annually. It says Fin currently resolves over 2M customer issues weekly across brands and runs on models trained by its AI group. Last week’s Apex announcement is described as a specialized customer-service LLM that beat frontier models from Anthropic and OpenAI in six-month production tests on resolution rate, latency, hallucination rate, and cost. Customers can choose the Fin Agent Platform, Fin Agent API, or direct access to Apex and related models for bespoke, specialized agents. The rationale is customer demand and a broader expectation that software differentiation will shift from features and interfaces toward agents built on differentiated AI.


### [Improving storage efficiency in Magic Pocket, our immutable blob store](https://yomu.fyi/post/improving-storage-efficiency-in-magic-pocket-our-immutable-blob-store.md)
- Company: [Dropbox](https://yomu.fyi/company/dropbox.md)
- Author: Ilya Yakovlev,Andrew Cheung,Binoy Dash,Simran Jumani,Dmitriy Meyerzon,Mark Breitenbach,Ishan Mishra,Kazuaki Okumura,Mike White,Kevin Altschuler,Facundo Agriel
- Published: Apr 2, 2026

After introducing a direct erasure-coding service, Dropbox encountered severe storage fragmentation in its immutable blob store, Magic Pocket, due to a large number of under-filled volumes. Because their legacy compaction strategy was only designed to top off near-full volumes, the team created new multi-strategy compaction methods to aggressively consolidate sparse volumes. These approaches leverage dynamic programming and streaming pipelines to rapidly reclaim unused disk capacity at exabyte scale.


### [How Notion catches breaking schema changes before they reach production](https://yomu.fyi/post/how-notion-catches-breaking-schema-changes-before-they-reach-productio.md)
- Company: [Notion](https://yomu.fyi/company/notion.md)
- Author: Maya Lekhi
- Published: Apr 2, 2026
- Type: Problem & solution

Schema drift in typed API requests and queue tasks can cause incidents when contracts change without detecting whether old payloads remain valid. Notion's CI guardrail extracts schema types from the base branch and compares them with PR types using TypeScript's compiler API, checking whether the old type is assignable to the new one. The check auto-discovers registered API endpoints and queue task types, uses git archive for base files, and currently covers approximately 1,300 endpoints and 296 task types. Backward compatibility blocks changes that reject old data, while queue schemas also receive an advisory forward check for rollout ordering. The rollout began with warnings, then made backward checks blocking and added a GitHub label for intentional exceptions; type checking still cannot catch extra runtime validation or semantic behavior changes.


### [100,000 GitHub stars](https://yomu.fyi/post/100-000-github-stars.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: paul\_copplestone
- Published: Apr 2, 2026
- Type: Announcement

Supabase reports reaching 100,000 GitHub stars and says eight million developers are building with the platform. Founded in 2020 by two people around a Postgres database, the project says it optimized for developers having a good time rather than for star counts, treating the milestone as evidence of a community that contributed, stayed involved, and built unexpected projects. Its open-source approach centers on supporting existing tools and communities: projects run unmodified Postgres, PostgREST handles billions of API requests daily, pgvector stores embeddings, Deno underpins Edge Functions, imgproxy handles image transformations, and Phoenix supports Realtime at almost 1.5 billion messages per day. The team says it aims to help make Postgres the default database for new internet projects, including by pursuing petabyte scale and pluggable storage.


### [Meet the new Cursor](https://yomu.fyi/post/meet-the-new-cursor.md)
- Company: [Cursor](https://yomu.fyi/company/cursor.md)
- Author: Michael Truell & Sualeh Asif
- Published: Apr 2, 2026
- Type: Announcement

Cursor 3 is a unified workspace for building software with agents, introduced as Cursor moves toward a third era in which fleets of agents work autonomously to ship improvements. Built from scratch around agents rather than as an extension, its multi-workspace interface brings local and cloud agents into one sidebar across multiple repositories and supports parallel work. Sessions can move from cloud to local for desktop editing and testing, or from local to cloud for offline and longer-running work; cloud agents also produce demos and screenshots for verification. The new diffs view streamlines editing and review through staging, committing, and PR management, while files with full LSPs, an integrated browser, and Marketplace plugins retain IDE capabilities; users can switch back to the Cursor IDE. Cursor says these foundational pieces—model, product, and runtime—are in place for more autonomous agents and team collaboration, while IDE investment continues until codebases are self-driving.


### [Welcome Gemma 4: Frontier multimodal intelligence on device](https://yomu.fyi/post/welcome-gemma-4-frontier-multimodal-intelligence-on-device.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: merve, Pedro Cuenca, Sergio Paniego, ben burtenshaw, Steven Zheng, Alvaro Bartolome, Nathan Habib
- Published: Apr 2, 2026
- Type: Announcement

Google DeepMind’s Gemma 4 family is available on Hugging Face as Apache 2-licensed, multimodal models intended for use across agents, inference engines, fine-tuning libraries, and on-device deployments. The family accepts image and text inputs across five sizes, while E2B, E4B, and 12B Unified also support audio; context windows range from 128k to 256k tokens. Its design combines alternating local and global attention, dual RoPE configurations, Per-Layer Embeddings, shared KV caches, and model-specific vision and audio handling, including an encoder-free unified 12B variant. The post documents integrations for Transformers, llama.cpp, MLX, WebGPU, Rust, and other tools, alongside fine-tuning examples and demos. Reported instruction-tuned results include a 1452 estimated text-only LMArena score for 31B and benchmark results spanning reasoning, coding, vision, audio, and long-context tasks.


### [PostgresBench: A Reproducible Benchmark for Postgres Services](https://yomu.fyi/post/postgresbench-a-reproducible-benchmark-for-postgres-services.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Author: Lionel Palacin
- Published: Apr 2, 2026
- Type: Benchmark

PostgresBench is a public, reproducible benchmarking suite created to compare transactional performance across managed PostgreSQL providers. The benchmark uses the standard pgbench tool with a TPC-B-like write-intensive workload executing across 256 clients and 16 threads for ten-minute durations. Evaluators tested five services—including Postgres managed by ClickHouse, AWS Aurora, AWS RDS, Neon, and Crunchy Bridge—under 100 GB and 500 GB scale factors using default configurations in the us-east-2 region. Across tested configurations, Postgres managed by ClickHouse delivered higher transactions per second and lower P99 latencies due to physically co-located NVMe primary storage. These results demonstrate that remote network storage layers, such as EBS volumes, introduce significant latency overhead during sustained write and fsync operations.


### [Rill and ClickHouse: real-time operational BI for a metered world](https://yomu.fyi/post/rill-and-clickhouse-real-time-operational-bi-for-a-metered-world.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Author: ClickHouse
- Published: Apr 1, 2026
- Type: Problem & solution

Granular operations across cloud computing, payment platforms, and artificial intelligence workloads produce high-volume event streams that traditional business intelligence tools struggle to unify and aggregate. Operational BI platform Rill addresses this challenge by combining declarative data loading through the dlt framework with ClickHouse's high-performance analytical aggregation engine. Data transformations, SQL-based measure expressions, and dashboard configurations are defined entirely as code using SQL and YAML. This declarative, metrics-first architecture allows developers to validate analytics locally, track changes in Git, and eliminate intermediate caching layers when querying live data. By querying ClickHouse directly and linking AI-generated insights back to underlying queries, the system provides traceable, real-time operational analytics for enterprise environments.


### [Announcing Role Based Access Control in ClickStack](https://yomu.fyi/post/announcing-role-based-access-control-in-clickstack.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Author: Mike Shi
- Published: Apr 1, 2026
- Type: Announcement

Managed ClickStack has introduced Role-Based Access Control (RBAC) to replace a legacy model where all users shared identical instance-wide permissions or required duplicate HyperDX instances for isolation. Integrated with ClickHouse Cloud for identity management, the new system allows administrators to assign users to roles governed by three access tiers: no access, read, and manage. Permissions apply across platform resources including dashboards, saved searches, sources, alerts, webhooks, and notebooks, with support for fine-grained rules matching names, IDs, or tags. While table-level source restrictions work through ClickStack, row-level access currently depends on separate ClickHouse SQL console roles, which the team intends to unify directly inside ClickStack in future releases.


### [Falcon Perception](https://yomu.fyi/post/falcon-perception.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: FalconPerception
- Published: Apr 1, 2026
- Type: Announcement

Falcon Perception is a 0.6B-parameter early-fusion Transformer for open-vocabulary grounding and segmentation from natural-language prompts. It processes image patches, text, and task tokens in one sequence, using hybrid attention so image tokens receive bidirectional context while text and task tokens decode causally. Its Chain-of-Perception interface predicts each instance as coordinate, size, and segmentation tokens, with specialized Fourier-feature and dot-product heads for dense outputs. The post also introduces PBench, which profiles attributes, OCR-guided identification, spatial understanding, relations, and crowded scenes. Falcon Perception reaches 68.0 Macro-F1 on SA-Co versus 62.3 for SAM 3, while presence calibration remains weaker at MCC 0.64 versus 0.82; the 0.3B Falcon OCR model scores 80.3 on olmOCR and 88.6 on OmniDocBench.


### [Supabase docs over SSH](https://yomu.fyi/post/supabase-docs-over-ssh.md)
- Company: [Supabase](https://yomu.fyi/company/supabase.md)
- Author: gregnr
- Published: Apr 1, 2026
- Type: Announcement

Supabase is launching supabase.sh, a free public SSH server that gives AI coding agents bash access to Supabase documentation as a public experiment. Its virtual file system exposes every documentation page as a Markdown file under /supabase/docs, allowing agents to use familiar commands such as grep, find, ls, cat, head, and tail to browse, search, and skim current content. The service runs on just-bash, Vercel’s open-source Bash emulator written in TypeScript, inside a sandboxed JavaScript runtime over a virtual file system, so it does not execute an actual shell on the server. Project instructions can be added with ssh supabase.sh agents >> AGENTS.md or generated through ssh supabase.sh setup | claude; the post contrasts this exploratory workflow with the existing search\_docs MCP tool and presents supabase.sh as an early experiment.


### [Any Custom Frontend with Gradio's Backend](https://yomu.fyi/post/any-custom-frontend-with-gradio-s-backend.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: yuvraj sharma, Abubakar Abid
- Published: Apr 1, 2026
- Type: Tutorial

gradio.Server enables applications built with React, Svelte, or plain HTML/JavaScript to use Gradio’s backend facilities instead of Gradio components. The post demonstrates this with Text Behind Image, whose browser UI layers a background, styled text, and a transparent foreground produced by BiRefNet, then exports a PNG client-side. A roughly 50-line Python backend extends FastAPI, exposes a standard HTML route, and defines an @app.api("remove\_background") endpoint; @spaces.GPU handles ZeroGPU allocation while Gradio supplies queuing, concurrency control, SSE streaming, and gradio\_client compatibility. The frontend calls the endpoint through the Gradio JavaScript client, so image-processing requests pass through the queue while rendering and compositing remain in the browser. The result is a custom frontend that retains Spaces hosting and Gradio infrastructure.


### [Agentic coding at ClickHouse](https://yomu.fyi/post/agentic-coding-at-clickhouse.md)
- Company: [Clickhouse](https://yomu.fyi/company/clickhouse.md)
- Author: Alexey Milovidov
- Published: Apr 1, 2026
- Type: Explainer

Industry perspectives on AI coding agents remain divided between dismissal and excessive automation claims. ClickHouse integrated agentic coding across internal workflows, progressing from simple boilerplate scripts to active backend C++ development. Engineers primarily use command-line agents such as Claude Code with Claude Opus 4.5 and Codex CLI alongside observability platforms like Langfuse and Librechat. While agents effectively investigate continuous integration logs, generate internal dashboards, and assist with small C++ tasks, they lack architectural competence and require rigorous code review. ClickHouse treats agents as pair programmers for contained tasks, retaining human ownership over product strategy, attention to detail, and core code quality.


[Newer posts](https://yomu.fyi/posts/page/148.md) · [Older posts](https://yomu.fyi/posts/page/150.md)