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Announcement reads
Announcement posts on Yomu, summarised newest first.
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Announcement posts
Discontinuing Swift Language IDE Support in the Kotlin Multiplatform Plugin
JetBrains is discontinuing Swift language IDE features in the Kotlin Multiplatform plugin starting with IntelliJ IDEA 2026.3 and Android Studio Rabbit 2 | 2026.2.2, including editing, syntax highlighting, and navigation within Swift files and between Swift and Kotlin. Running iOS applications and debugging Kotlin code on iOS will remain fully supported, and Kotlin/Native functionality such as Swift Export is unaffected. The existing Swift functionality will remain available in earlier versions of IntelliJ IDEA, Android Studio, and the KMP plugin, though these older versions will not receive further updates. The decision follows analysis showing limited and declining usage, with most iOS developers on KMP projects preferring Xcode for Swift development. The Swift support, originally developed for AppCode, required substantial effort to stay compatible with changes in Swift, Xcode, and the IntelliJ Platform.
Twilio Reaches Branded Calling Milestone Across AT&T, T-Mobile, and Verizon Networks
Consumers rarely answer unknown numbers, causing legitimate business calls from pharmacies, banks, and delivery drivers to be ignored. Branded Calling addresses this by displaying a verified brand name, logo, and call reason on the recipient’s device to establish trust before the recipient decides to pick up. Twilio expanded Branded Calling to include AT&T (in pilot) alongside T-Mobile and Verizon, building on work since 2021 when they executed the first wireless call using Rich Call Data (RCD) over the PSTN authenticated with STIR/SHAKEN, and later documented the approach and brought the feature to general availability. Customer CareSignal, a healthcare engagement platform, saw a 21% increase in call answer rates. Twilio emphasizes that trust must extend beyond voice to channels like RCS, WhatsApp, Email, and Apple Messages for Business, so the same verified brand carries through every step.
TypeSafe AI scales Jev to trillions of tokens in three days on Modal
TypeSafe AI’s Jev is a System One Model that outputs structured decisions with probabilities rather than generating text, taking state and questions as input and returning typed values. It uses a custom architecture, a parallel sampler for maximum efficiency, and a training method called Reinforcement Learning for Calibrated Decisions (RLCD). Unlike autoregressive LLMs, Jev produces outputs in parallel, enabling low-latency responses suitable for workloads like large-scale automation, fast browser use, and generative user interfaces. Launched on a Thursday, Jev topped OpenRouter’s leaderboard for contexts between 1K and 10K tokens one week later, handling 15.1% of requests on that platform. To meet demand exceeding one trillion tokens in three days, TypeSafe used Modal’s serverless platform for bursty, high-concurrency inference without managing their own infrastructure, gaining control over networking, routing, and autoscaling needed for ultra-low-latency serving.
MongoDB Queryable Encryption: Prefix, Suffix, and Substring Queries Are Now GA
MongoDB announced general availability of prefix, suffix, and substring query support in Queryable Encryption, extending beyond equality and range queries to production workloads at no additional cost in Atlas, Enterprise Advanced, and Community Edition. These capabilities enable expressive text searches on encrypted data without decryption, with the database server never seeing plaintext during query processing. The open-source encryption scheme is independently verifiable, works without specialized hardware, and protects data at rest, in transit, and in use. The new query types enable partial-name lookups, autocomplete, and partial-word filtering on encrypted fields via the native query engine, requiring no external indexes or middleware. This helps meet HIPAA, PCI-DSS, and GDPR compliance by protecting data in use — a stage other encryption methods cannot cover — reducing audit gaps and eliminating workarounds.
Together Link: open models in the harness you already use. Start with one command today.
Together Link connects coding agents to over 40 production-tier open models on Together AI, cutting model spend by over 50% compared to premium closed models. It integrates with Claude Code, Claude Desktop, Codex, OpenCode, and Pi without requiring any workflow changes. Open models such as Kimi K3, GLM 5.3, DeepSeek V4.1 Flash, and GLM 5.3 Flash now handle both complex architectural tasks and everyday fixes at a fraction of the per-token cost. A per-session router reads each session’s first task and routes it to either a fast, low-cost model or a frontier model; when no Anthropic key is provided it routes between GLM 5.3 and GLM 5.3 Flash, and Together AI serves the largest share of OpenRouter tokens for these models. Billing uses the existing Together API key with pay-as-you-go or credit packs, and a per-session tracker shows what the session would have cost on Opus 5.5.
MongoDB 9.0: This Is What a Database Should Be
MongoDB 9.0 is the most advanced release in MongoDB’s history, designed to eliminate the tradeoffs that force organizations to add infrastructure, compromise security, or rethink architecture as applications grow. Transactional workloads achieve up to 20% higher throughput compared to 8.0, with find-one queries up to 35% faster and update-one queries up to 30% faster, and large deployments see nearly 2x higher throughput. Queryable Encryption now supports prefix, suffix, and substring queries, enabling partial-match searches on encrypted data throughout its lifecycle. Intelligent Workload Management queues transient traffic spikes during overload to keep clusters responsive, buying time for auto-scaling or operator intervention. The release also includes redesigned Atlas Metrics UI, enhanced OpenTelemetry integration for streaming metrics to platforms like Datadog and Prometheus, and a MongoDB extension for Hibernate ORM to ease modernization.
Tag, You're It: Using MongoDB Labels To Drive DataDog Business Logic
MongoDB Atlas’s integration with DataDog now sends custom cluster-level labels as tags on DataDog metrics objects, allowing users to organize and categorize monitoring data in meaningful ways. Users define key-value labels in MongoDB at the cluster level using the Data API or configuration endpoints, and these labels automatically appear as tags in DataDog. These tags can filter metrics in the Metrics Explorer, group data for dashboards, and set alert priorities based on attributes such as environment, application, or region. For instance, tag-based monitors can trigger a P2 alert for production clusters exceeding query targeting thresholds while assigning lower priority to non-production clusters. This enhancement, available on Atlas M10 cluster tiers and higher, leverages existing MongoDB labeling infrastructure to improve observability and drive business-specific alerting and dashboarding logic.
Supabase Select 2026 Recap
Supabase announced a code-first approach at its Select 2026 event, enabling developers to store schema and configuration in code so coding agents can set up and modify projects end to end. Local Supabase now runs as native processes without Docker, allowing multiple instances per directory and compatibility with sandboxes like Claude Code. A new MCP server lets application users connect their own agents, authenticating through existing Auth flows and enforcing row-level security on every tool call. Operational tools include Health Check Advisors for error rates, Database Connections for session management, Explorer notebooks for unified SQL and log queries, and query_logs for agent monitoring. Scaling features encompass Multigres for multi-node Postgres high availability, OrioleDB to avoid table bloat and VACUUM, Supabase Pipelines for near real-time data streaming to analytics platforms, and dbarena for transparent benchmarks.
Scale without limits: Multigres, OrioleDB, and dbarena
At Supabase Select, Supabase announced Multigres for high availability and connection pooling, OrioleDB for high performance storage, and dbarena for transparent benchmarking. Multigres is an open source operating system for Postgres that adds scalable connection pooling and automated multi-node failover using a consensus protocol built on synchronous replication, preventing data loss during failover. OrioleDB replaces Postgres’s heap storage with an undo log-based engine that eliminates bloat, VACUUM overhead, and transaction ID wraparound by using 64-bit transaction IDs, delivering up to 1.8x higher throughput in TPC-C-derived benchmarks. dbarena.com is an open benchmarks site that publishes reproducible performance and cost comparisons across managed Postgres providers including Supabase, Amazon RDS, and Google Cloud SQL, with full methodology and raw data. These tools aim to remove scaling limitations at every layer of Postgres, with all improvements being open source and available to the community.
Operate with confidence
At Supabase Select, Supabase announced tools that let coding agents find production problems, test fixes, and report back, with controls for access and permission. A new MCP tool gives agents raw SQL access to project logs, advisor checks now include health signals for error rates across Data API, Auth, Storage, and Edge Functions, and the database connections view shows sessions, long queries, idle-in-transaction, blocked, and lock holders. Notebooks combine saved database or log queries with markdown notes, can be created in the dashboard via the Assistant, pulled locally with supabase notebooks pull, and pushed with supabase notebooks push, and are found in the new Explorer rolling out through October 12. Updated Skills provide a living document of common health, security, performance, and resource signals for agents to watch for and how to monitor them. Supabase Pipelines, available on paid plans, allow replicating data to BigQuery, ClickHouse, DuckLake, or Snowflake.
Build anything: Supabase from code, and an MCP server for your app
Supabase announced tools at Supabase Select that let coding agents manage backend configuration and deployment from code, eliminating the need for dashboard-only changes. Declarative Schemas 2.0 allows agents to edit SQL files as the source of truth, with pg-delta generating migrations, while config.toml holds settings like auth providers that can be pulled back from the dashboard. Local development now runs as native processes without Docker, supporting multiple instances per directory and working in environments like Claude Code’s sandbox, currently in alpha off by default. Supabase Compute provides long-running services in any language alongside the database, with configurable memory and CPU, public or private HTTP endpoints, and deployment via CLI or Management API. The new MCP server lets user agents interact with an app as the signed-in user, respecting existing RLS policies, built on @supabase/server and Supabase Middleware, with a headless app template available.
Anthropic invests $100 million to train 10,000 engineers and tackle the enterprise AI talent gap
Anthropic launched Claude Frontier Academy with a $100 million commitment to train 10,000 Frontier Deployed Engineers by the end of 2027. The program addresses the talent gap in enterprise AI implementation, where skilled engineers are scarce. The Frontier Deployed Engineer Residency follows a medical model: engineers learn from practitioners, work on simulated enterprise deployments covering use case selection, security review, and handover, and are assessed on a graded practical before earning credentials. First cohorts include engineers from Accenture, Bain, Capgemini, Commonwealth Bank of Australia, Deloitte, McKinsey, Morgan Stanley, and Novo Nordisk, with cohorts running in San Francisco, New York, and London. The program starts with a multi-day in-person session with Anthropic engineers and licensed instructors and continues with a 12-week residency where engineers lead a real Claude use case at their organization, supported by Anthropic engineers, with the first FDE badges expected in early 2027.
Streamline: custom video pipelines with Cloudflare Stream and Workers
Cloudflare released Streamline, a developer playground that demonstrates how to build custom video pipelines using its Developer Platform. Streamline combines Workers, Containers, and Durable Objects to create long-running media processing sessions that can render dynamic annotations or burn in subtitles on livestreams and hosted videos. The architecture consists of a Media Engine running in a Container, controlled by a Worker application that handles orchestration and preview via Durable Objects. The Media Engine uses FFmpeg for processing and supports inputs from RTMPS, HLS, or webcam, with output to Cloudflare Stream or WebSocket preview. Streamline is open source, with repositories for the media engine and an example application, and a public playground is available for testing.
Supabase is acquiring Turso
Supabase is acquiring Turso to evolve database infrastructure for the massive scale of AI agent-created databases. Supabase already launches over one million databases per week and expects demand to outpace capacity as agents build more software. Turso rebuilt SQLite in Rust, creating a cloud platform where a single server manages millions of databases, loading them on demand and suspending them when idle, avoiding dedicated machines for small workloads. This architecture suits agent workloads needing cheap, on-demand databases, while Postgres remains the path for scaling to production; Turso will continue operating independently with a clear path into Supabase’s ecosystem, and for existing users nothing changes. Glauber Costa will lead the agentic infrastructure effort, and the combined mission is to store the world’s data as agents create more of it.
Open-sourcing AstaBrief, the fast report-generation model in Asta
AstaBrief is an open-weights 8B-parameter model developed by Ai2 for generating cited scientific reports from a research question and literature excerpts, designed for evidence-grounded outputs. It was trained from Qwen3-8B using supervised fine-tuning on 47K filtered real user queries and direct preference optimization, focusing on data quality. Unlike Asta’s Thinking mode, which uses a multi-step pipeline, AstaBrief writes the full report in a single pass to reduce generation time. In Asta’s Fast mode, it averages 51.1 seconds per report versus 178.5 seconds for Thinking mode, roughly 3.5× faster, while competitive on answer and citation quality. The model and training data are open-sourced on Hugging Face, enabling institutions to deploy behind their own firewall and supporting future open scientific models.
Introducing Web Search API via AI Gateway
Cloudflare launched a Web Search API via AI Gateway, partnering with Ceramic.ai, Exa, and Linkup, to provide grounded intelligence by letting AI agents search the web instead of guessing URLs that return 404 errors. The API injects live, structured snippets into inference pipelines, giving models access to information beyond their training cutoff, such as new Birthday Week releases, and grounding agent responses with real-time data. Developers can integrate via AI Gateway credits, a direct REST endpoint with curl, or Workers bindings with one line of code. Partners commit to Cloudflare’s verified bot standards, including identifying crawlers, respecting robots.txt, and providing source links for transparency. Web search calls are logged in AI Gateway observability, billed at list pricing without markup, support Bring-Your-Own-Key and Zero Data Retention, with native server tools coming soon.
8 major updates to Cloudflare Observability
Cloudflare announced eight major updates unifying logs, traces, analytics, alerts, dashboards, and data export into one observability platform with simplified pricing. The new Logs home combines Workers Observability and Log Explorer, letting users query datasets like HTTP events, firewall events, Workers, and R2 using SQL or filters. Cloudflare Traces, now in open beta, provides request-level visibility across security rules, transformations, caching, routing, Workers, and origin, with OpenTelemetry export and W3C trace context propagation. A unified SQL API lets humans and agents query telemetry across Cloudflare products, and custom alerts can be set on any dataset using threshold, anomaly, or SLO conditions. Pricing shifts to a volume-based model for ingested and stored logs and traces, effective December 1, 2026, with free tier at 0.5 GB ingestion per day and paid plans starting at 50 GB ingestion per billing cycle.
Introducing Cloudflare Traces: follow requests through our entire platform
Cloudflare Traces, in open beta, extends tracing beyond Workers to the full request path, capturing spans for security, transformations, cache, routing, Workers, and origin handling in one timeline. Users set a baseline sampling rate and use Trace Rules to override it for specific traffic, enabling targeted debugging without increasing volume across the domain. The feature accepts and forwards W3C traceparent headers for distributed tracing and exports spans via OTLP to any compatible backend, with no instrumentation required. It reveals why a request was blocked, which rule acted, whether the URL was rewritten, and where time was spent between cache, origin, and the application. Pricing, effective December 1, 2026, is based on ingestion and retention: free tier 0.5 GB daily with 7-day retention, paid plans 50 GB ingestion and up to 365-day retention.
Updates on our pledge to make Cloudflare features accessible to everyone
Cloudflare CTO Dane Knecht pledged a year ago to make every Cloudflare feature available to all customers, not just Enterprise. The company has since expanded Logpush and Logpush Transformers, which use SQL to filter, redact, and reformat logs, to Free, Pro, and Business plans. Custom Dashboards for personalized metrics are now available to all customers. Role-Based Access Control (RBAC) has been extended to nearly all products, including resource-level roles for Workers, and a New Account button lets users create additional accounts directly. Organizations, which group accounts for unified analytics and shared configurations, are in beta for Enterprise and will reach free accounts in early 2027, and platform limits have also been raised, including Workers subrequests from 50 to 100 and Durable Objects idle time from 70–140 seconds to 15 minutes with active outbound connections.
Announcing Cloudflare OHTTP Gateway – expanding access to Cloudflare’s privacy-preserving infrastructure
Cloudflare announced the closed beta of its OHTTP Gateway, a managed service that decapsulates encrypted OHTTP requests for application servers while preserving client privacy and expanding access to privacy-preserving infrastructure. OHTTP is an IETF standard that uses two independent hops—a relay and a gateway—to hide client IP addresses and TLS fingerprints from app servers, ensuring no single party sees both client identifiers and request contents. The new Gateway is designed for customers whose app servers are already behind Cloudflare, allowing them to use a third-party relay while Cloudflare handles the cryptographic work, for example with Apple’s LiveCallerID. Cloudflare also renamed its existing Privacy Gateway product to Cloudflare OHTTP Relay to better distinguish the two product options. The Gateway runs on Cloudflare’s global edge network to minimize latency, and developers can implement OHTTP clients using sample libraries while joining a waitlist for the paid add-on.
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