Show HN: `CodeBurn` analyzes `Claude Code` token usage by task

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• #0001

  #0001Agents & toolsGoogle AI Forum3 hours ago

  `Google Antigravity` shifts toward weekly quotas, hurting long coding sessions

  60radar

  Google AntigravityAI coding agent — developer tool powered by Gemini

  Short-reset Flash access is gone, pushing heavy use into 7-day quotas. The tool now fits burst work better than daily agentic coding.

  • —Gemini 3.0 Flash with roughly 5-hour resets was the practical daily driver; its removal breaks predictable iteration loops.
  • —Paid Ultra users are also hitting tighter limits, so this is not just a free-tier downgrade.
  • —Weekly cooldowns turn debugging, refactoring, review, and test loops into prompt budgeting. Keep a fallback agent ready.

  Source: discuss.ai.google.dev/t/google-antigravity-has-come-to-aRead original →
• #0002

  #0002Agents & toolsSimon Willison5 hours ago

  `Gemini Spark`, Google’s hosted agent tied to Workspace apps

  60radar

  Gemini SparkHosted AI agent — native Google app connections

  Google is packaging app-connected agents around Workspace, but much is still coming soon. Security and credential handling decide whether it becomes useful or risky.

  • —Gemini Spark connects natively to Gmail, Calendar, Drive, Docs, Sheets, Slides, YouTube, and Maps. That makes it closer to a work agent than a chat UI.
  • —FAQ says it runs on Gemini 3.5 Flash and Antigravity. The Antigravity stack spans a desktop app, CLI, SDK, and VS Code fork.
  • —Enterprise notes mention fresh isolated ephemeral VMs, Agent Gateway DLP, and encrypted credentials. That is the right threat model, not proof it is solved.
  • —Since the product is not broadly testable yet, treat it as a roadmap signal. Do not build critical automations around it until GA behavior is clear.

  Source: simonwillison.net/2026/May/20/google-io/#atom-everythingRead original →
• #0003

  #0003Agents & toolsGitHub Changelog6 hours ago

  `GitHub Copilot` in VS Code gets task-based auto model routing

  70radar

  Model choice moves from manual picking to routing by task, utilization, and health. Useful for lower-friction coding, but less control over exact model behavior.

  • —GitHub Copilot now selects a model using task fit, utilization, and model health metrics, aiming for reliable and token-efficient runs.
  • —The change matters most in VS Code, where model switching interrupts small coding loops; default auto mode should reduce that friction.
  • —Tradeoff: less explicit model control. Keep manual model selection for debugging, refactors, or prompts where output variance matters.

  Source: github.blog/changelog/2026-05-20-auto-model-selection-noRead original →