Community Research: Quota Architecture Failures + A Product Proposal (Continuity Engine)

Google Antigravity
1

Hi Antigravity community,

I’ve been a heavy Antigravity IDE user for several weeks, and like many of you, I’ve hit the quota wall in ways that disrupted real work. Rather than just posting frustration, I spent time researching the failure patterns systematically — reading forum threads here, community discourse on Reddit, and developer blogs — and drafted a product proposal for what I believe is the systemic gap.

I want to share it here because this community has the most direct signal on what’s actually failing, and I’d value your input on whether my analysis reflects your experience.

What I found in the data (proxy estimates from community discourse):

  • Task Completion Rate in real workflows: ~45–52% (vs. ~80% SWE-bench benchmark)

  • Quota Interruption Rate: ~68–75% of deep agentic sessions end in forced termination

  • User Intervention Rate: ~82–88% (true autonomy is rarely sustained)

  • Workaround Adoption: ~35–42% of power users have built their own continuity systems

The 7 failure modes I identified:

  1. Mid-Workflow Termination — binary hard cutoff, no checkpoint, files left broken

  2. Cross-Model Contagion — shared quota pool, one model exhausted = total lockout

  3. No Predictive Awareness — task cost unknown until quota is already burned

  4. No Session State Continuity — context lost on every interruption

  5. Thinking Token Opacity — hidden reasoning tokens burn quota invisibly (Opus ~4x faster than Gemini)

  6. UI / Backend Desync — UI shows available, backend blocks

  7. Infinite Agent Loops — no circuit breaker, unresolvable errors burn weekly cap in minutes

These failures compound — one session can trigger all seven in sequence.

The most telling signal: what experienced users are doing to survive

Users on this forum and Reddit have independently converged on the same survival strategies:

  • Opus → Flash manual routing (3–4 switches per session)

  • Voluntary quota stop at ~40% usage

  • .antigravityignore to block background indexing quota burn

  • /handoff commands + third-party memory extensions for context preservation

These aren’t hacks. They’re users building the continuity system the product doesn’t provide. And every workaround is a product validation signal.

My proposal: The Continuity Engine

A system layer between infrastructure limits and user workflows, with 5 interlocking capabilities:

  1. Intelligent Task-Based Model Routing (automate what users do manually)

  2. Quota-Aware Predictive Execution (pre-flight cost check before execution)

  3. Fiduciary Circuit Breakers (abort after 3 failed Verify cycles, save state)

  4. Session State Continuity (serialize + rehydrate agent context across boundaries)

  5. Decoupled Quota Pools (isolate reasoning vs velocity model buckets)

The full analysis — including failure mode root causes, user evidence taxonomy sourced from this forum and Reddit, full feature specifications, implementation priority matrix, and honest trade-off assessment — is published here:

:link: https://github.com/VIKAS9793/antigravity-continuity-engine

My questions for this community:

  1. Do these 7 failure modes match your experience? Am I missing any?

  2. For those who’ve developed workarounds — have you found anything that changes the picture significantly?

  3. For anyone at Google working on Antigravity: I’d be genuinely grateful for any perspective on whether any of these are already in the roadmap, or where my analysis might be off.

This is meant as a constructive product contribution, not a complaint. The platform’s model quality is exceptional — the infrastructure layer is what needs work.

:warning: Disclaimer: Independent case study from personal usage and publicly available community data. Not affiliated with Google. All metrics are community-derived proxy estimates, not official telemetry. Published as an open educational artifact.

— Vikas Sahani | GitHub: VIKAS9793 | vikassahani17@gmail.com