Hi there, this is your daily ☕️ Devshot.
In today's Devshot:
🔧 Uber cut AI costs with MCP servers
🌐 Microsoft open-sources TauGrid
🔀 Zed launches Delta
📊 TanStack Charts comes to TypeScript
⚡ C++23's flat_map beats std map on lookups
Plus: 🎁 6 other news you might like, 🧰 6 tools, and 📚 5 papers.
🔧 Uber cut AI costs with MCP servers LINK
- Uber cut its per-session AI tool-schema costs to near-zero by routing over 1,000 MCP server interactions through a single gateway, dropping cost per 1,000 requests ~34% and cost per session ~52% from peak while keeping spend flat.
- The problem was schema overhead: with ~100 tools installed, definitions added 50,000-70,000 tokens to every prompt and got re-sent on each turn, since vendors bundle huge tool sets, one suite ships 49 tools needing ~22K tokens.
- Three fixes attacked it: CLI resolution lets the model invoke tools via shell without loading schemas, on-demand tool search pulls only relevant definitions, and code-mode batches sequences into one subprocess script, packaged as ~25 default "skills".
🌐 Microsoft open-sources TauGrid LINK
- Microsoft has open-sourced TauGrid, a cloud-native platform for managing, scheduling, and monitoring AI workloads on GPU-enabled Kubernetes clusters, letting researchers submit jobs without touching Kubernetes while platform teams handle queues, quotas, and observability.
- Written in Go, it defines workloads in a YAML file submitted with `tau run`, which validates the config and creates a Kubernetes Job or KubeRay RayJob, queued via Kueue by remaining quota and priority.
- TauGrid tracks status, logs, and checkpoints so failed jobs can resume, requires a cluster running 1.30+ with GPU nodes and Helm 3.0, and its roadmap includes PyTorch DDP/FSDP, DeepSpeed, LoRA/QLoRA, and multi-cloud execution.
🔀 Zed launches Delta LINK
- Zed has launched the public beta of Delta, a collaborative environment where developers and coding agents work, review and revise code together in shared threads instead of pull requests, available on macOS, Linux, Windows and browser.
- Delta's core unit is the thread, a running record linking the agent conversation to the files it edits; DeltaDB underneath captures individual edits and chat events as "deltas," adding history between Git commits rather than replacing branches.
- Zed has already disabled pull requests on Delta's own repo, where 33 developers landed 570 changes to main through threads; it still works with Git repositories and plans repository-based access using GitHub permissions.
📊 TanStack Charts comes to TypeScript LINK
- TanStack Charts has landed as a framework-agnostic, type-safe visualization library for TypeScript, already hitting roughly 160,000 weekly downloads despite still sitting officially in Alpha with no stable API promise.
- Instead of fixed chart types, you compose marks, scales, channels, transforms, and layers via a grammar-of-graphics API, with inferred types staying tied to your source rows and adapters for React, Vue, Solid, Svelte, Angular, Lit, and more.
- A basic React line chart weighs about 29 kB gzipped and the suite sits around 38-45 KiB, undercutting Chart.js, Observable Plot, and ECharts, though the docs warn it suits simpler charts over heavy real-time datasets.
⚡ C++23's flat_map beats std map on lookups LINK
- C++23's `std::flat_map`, available in GCC 15's libstdc++ and LLVM 20's libc++, stores sorted key and value vectors queried by binary search, and benchmarks show it often beats `std::map` for lookups and bulk construction.
- On random lookups over 1M elements it ran ~150ns versus ~390ns for `std::map`, and range construction hit ~72ns against ~316ns, since two contiguous arrays cut memory overhead and improve locality.
- The catch is mutation: inserting millions of random keys one at a time scales quadratically and becomes far worse than `std::map`, though sorted-order inserts, `insert_range` bulk merges, and disk serialization via `memcpy` stay fast.
Other news you might like
- Migrating the GitHub Copilot runtime to Rust, using CopilotLINK
- Developer uses GPT-6 Astra to get CoD Black Ops 2 Hijacked map running natively inside Minecraft — achieves 45fps performance using Minecraft’s OpenGL contextLINK
- Google Home MCP lets Antigravity, Claude, OpenClaw, & more control your smart homeLINK
- Not just Proton: Getting to know Valve's new SteamOS compatibility layersLINK
- Dropbox Evolves Riviera Content Processing Platform to Support AI WorkloadsLINK
- Kubernetes v1.37: Hardening Container Storage with Bind Mount Options and EmptyDir PermissionsLINK
🧰 Trending tools
Prelint: reviews AI-generated pull requests against your ADRs, docs, and past decisions, catching product drift before it reaches productionLINK
Switch: open-source collaborative workspace uniting people and AI agents in one shared room across Slack, Teams, Discord, or Mattermost, preserving context through every handoff.LINK
Mastra Factory: a TypeScript framework for building AI agents and apps, with workflows, memory, streaming, evals, tracing, and an interactive Studio UI for testing.LINK
Anysite.io: pulls fresh web and business data for outbound, ABM, research, and monitoring via MCP or REST, with flat monthly plansLINK
Meridian: open-source, locally-run activity tracker that logs your work with context, revealing where your time went and the blockers behind it.LINK
AgentSky: runs managed AI coding agents with auto-recovery, controlling remote development from WhatsApp, Telegram, Slack, web, API, or CLILINK
📚 Trending papers & reports
Factory controller testing gets its first shared benchmark, 50 programs in 83 variants with verified pass or fail answers, so companies can finally prove their safety-checking tools actually catch dangerous flaws in industrial machine code.LINK
Code-checked reasoning training teaches AI to run and verify its own math and physics work, boosting accuracy up to ~17 points and cutting scientific-law errors by ~73%, beating leading models on physics tests.LINK
AgentPack is a cleaner training set of 1.8 million code edits jointly made by humans and coding assistants like Claude Code and Cursor, and it teaches AI code editors better than older human-only data.LINK
AI-built Linux utilities proved as reliable or more reliable than their human-written originals under standard crash testing, with fewer memory bugs but more freeze-ups, though skilled prompting and human oversight remained essential.LINK
Agent-friendly design system gives websites a shared layout that both people and software agents can read clearly, letting bots complete tasks more reliably while keeping the human interface visually flexible and familiar.LINK
See you tomorrow for a new dose of ☕️ Devshot!