Copilot, Gemini, and Vercel Updates #65

Copilot, Gemini, and Vercel Updates #65

Today's Letter

  1. GitHub Copilot adds Claude Sonnet 5 GA
  2. Google, Nano Banana 2 Lite and Gemini Omni Flash introduced
  3. Vercel adds Dockerfile deployments on Fluid Compute

GitHub Copilot adds Claude Sonnet 5 GA

GitHub Copilot adds Claude Sonnet 5 GA
  • GitHub made Anthropic's Claude Sonnet 5 generally available in GitHub Copilot on 2026-06-30.
  • The model is positioned for everyday coding tasks across the IDE, CLI, and agentic workflows.
  • GitHub said internal testing showed strong coding results, especially on CLI-style tasks.
  • GitHub also cited strong prompt-cache utilization and competitive latency at lower effort levels.
  • Access is rolling out to Copilot Pro, Pro+, Max, Business, and Enterprise plans.
  • Model selection is available in Visual Studio Code, Visual Studio, JetBrains, Xcode, Eclipse, and github.com.
  • The rollout also covers Copilot CLI, GitHub Copilot cloud agent, Copilot App, and GitHub Mobile on iOS and Android.
  • Business and Enterprise admins can enable the model through Copilot model policy settings.
  • Claude Sonnet 5 uses Zero Data Retention in Copilot and is billed at provider list pricing under Usage Based Billing.

Source: github.blog


Google, Nano Banana 2 Lite and Gemini Omni Flash introduced

Google, Nano Banana 2 Lite and Gemini Omni Flash introduced
  • Google published an official post on June 30, 2026 announcing Nano Banana 2 Lite and Gemini Omni Flash for developers.
  • The announcement frames both releases as builder-facing model updates rather than a consumer product launch.
  • Nano Banana 2 Lite is presented as a lighter variant in the Nano Banana line.
  • Gemini Omni Flash is introduced alongside the update, indicating a paired multimodal rollout in the Gemini model stack.
  • The source materials also reference Gemini Image, suggesting image-generation or image-related workflow relevance within the same release context.
  • Google and Google DeepMind are the primary entities attached to the announcement.
  • No pricing, quota, or regional availability details are provided in the supplied source extract.

Source: blog.google
More: techcrunch.com · news.hada.io · gigazine.net


Vercel adds Dockerfile deployments on Fluid Compute

Vercel adds Dockerfile deployments on Fluid Compute
  • Vercel introduced support for deploying any HTTP server from a `Dockerfile.vercel`, with build, image storage, rollout, and autoscaling handled on Fluid Compute.
  • The setup requires the service to listen on `$PORT`, which defaults to `80`; Vercel's example uses a two-stage Go build with `golang:1.24-alpine` and `alpine:3.20`.
  • Deployments run through the Vercel CLI, and each Git push rebuilds the image and creates a fresh preview URL; manual deploys without a commit are also supported.
  • Containers run as first-class workloads alongside frontend apps and other services on the same platform, with private networking, shared domains, and built-in logs, traces, and metrics.
  • Vercel says images are stored as optimized boot images that can be streamed and decompressed on demand, so request handling can begin before the full image download completes.
  • Compute billing follows Fluid Compute's active CPU model, so charges apply to execution time rather than wall-clock idle time.
  • The current model is stateless between requests, with persistent state expected to live in external services such as databases or caches from Vercel Marketplace; durable storage for containers is still in development.

Source: vercel.com


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