`Gemini Code Assist` Individual IDE/CLI Access May End June 18

// related

• #0001

  #0001Agents & toolsHacker News · Show HN AI3 hours ago

  `AISlop`, a CLI that catches AI-generated code smells

  60radar

  AISlopAI code-quality CLI — local code-smell scanning

  Scans for patterns tests often miss: empty catches, dead code, duplicate helpers, and useless comments. Local-only hook integration makes it worth trying in agent-heavy repos.

  • —npx aislop scan runs locally, so source code is not uploaded. That lowers the barrier for private app repos.
  • —Targets AI-agent residue rather than syntax errors: empty catch, dead code, duplicated helpers, and low-value comments.
  • —Hook-based use after each tool call fits Claude Code, Codex, and opencode workflows where small slop accumulates fast.

  Source: github.com/scanaislop/aislopRead original →
• #0002

  #0002Agents & toolsGoogle AI Forum5 hours ago

  `Antigravity Ultra` users hit persistent `MODEL_CAPACITY_EXHAUSTED` on Claude Opus thinking

  60radar

  AntigravityCoding agent IDE — uses Google's backend model routing

  Paid agent sessions can fail before real work starts. Treat Antigravity Ultra as capacity-risky for Claude-heavy workflows until routing improves.

  • —The backend returns 503 `MODEL_CAPACITY_EXHAUSTED` from cloudcode-pa.googleapis.com, so this is server capacity, not local quota.
  • —Failures recur after 1-29 seconds on multi-step agent tasks like file edits, bash runs, and code generation. Long tasks are unreliable.
  • —Server-Timing shows about 13s spent waiting for model capacity before failure. Retry loops burn time without changing the result.
  • —Multiple similar forum threads over nearly a month point to account or routing-level fragility, not a one-off client setup problem.

  Source: discuss.ai.google.dev/t/persistent-model-capacity-exhausRead original →
• #0003

  #0003Agents & toolsGeekNews14 hours ago

  `Claude Code` Adds Dynamic Workflows for Parallel Subagents

  90radar

  Claude CodeCoding agent CLI — runs agentic dev tasks from the terminal

  Large engineering jobs can now be split across many subagents in one session. This turns agent work from linear prompting into scripted orchestration worth testing on repo-scale tasks.

  • —A single session can dynamically write orchestration scripts, launch dozens to hundreds of parallel subagents, and collect results before delivery.
  • —The feature targets work too large or complex for one agent, so it fits migrations, wide refactors, audits, and test expansion.
  • —The bottleneck shifts to task decomposition. Vague goals will create noisy parallel work, while clear file/module boundaries should pay off.

  Source: news.hada.io/topic?id=29981Read original →