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Agents/2026-06-27Advanced

Keep a Tamper-Evident Audit Log of Your Autonomous Agent's Actions

To record the decisions and actions an Antigravity agent takes autonomously in a form you can trace and verify later, design an append-only audit log whose hash chain detects tampering. Includes the implementation.

Agents/2026-06-21Advanced

Keeping Unattended Agent Run Logs Long Enough to Debug — Without Filling the Disk

A scheduled agent is only fixable if you can reconstruct why it failed. Here is how to keep run logs around without filling the disk — tiered retention, schema-versioned records, and a compaction job — drawn from running four sites on autopilot as an indie developer.

App Dev/2026-06-20Advanced

Agent Config Drifts Quietly Across Environments: Detection and Correction

Across two Macs and an automation host, agent settings slowly diverge and only one side fails. Here is how to surface that config drift with normalized hashing and a correction workflow, from an indie developer's setup.

Agents/2026-06-17Advanced

Accounting for Which Agent Spent What: A Cost Attribution Design by Task

Your month-end bill is one number, but running multiple agents on Gemini 3.5 Flash hides which task ate the cost. Separate from a budget guard, I share a cost-attribution accounting design that maps usage to per-task and per-site cost, with a solo-operator implementation and numbers.

Agents/2026-06-17Advanced

Tracing Parallel Agents After the Fact: Observability with Structured Logs and Spans

Running multiple agents in parallel on the Antigravity 2.0 desktop makes it impossible to tell which one is doing what. I share an observability design that drops tangled print debugging for run_ids and spans you can trace afterward, with a solo-operator implementation and numbers.

Agents/2026-06-17Advanced

Making Managed Agent Batches Safe to Re-run: Idempotency and Checkpoints

Running overnight batches on the Antigravity 2.0 Managed Agents API makes recovery from partial failure unavoidable. Starting from a duplicate-post incident, I share the implementation of idempotency keys, a checkpoint store, and resume logic, with real numbers from solo operations.

Antigravity/2026-06-16Advanced

Collecting Guardrails Across Projects Into One Place — A Thin Wrapper Around the Antigravity SDK

When you copy the same safeguards into every project, you eventually fix one and leave the other stale. Here is a design that builds a single thin wrapper around the Antigravity SDK to centralize cost caps, allowed tools, and output validation — from someone running several apps in parallel.

Integrations/2026-06-16Advanced

When a Cloud Nightly Batch Drifts From Yesterday's Result — An Input Contract and Snapshot Design for Reproducibility

When you push a batch to a cloud ephemeral worker via the Managed Agents API, the environment assumptions you took for granted locally vanish. Here is a three-layer design — environment snapshot, input contract, seed pinning — that keeps the same input producing the same result.

Agents/2026-06-16Advanced

Bundling Nightly Tasks With agy Async Jobs — A fan-out, poll, join Design

The Go-based Antigravity CLI (agy) can detach jobs and run them asynchronously. Here is a fan-out, poll, join design for firing many long-running tasks at once, collecting their job IDs, and waiting for completion — drawn from an actual nightly batch.

Antigravity/2026-06-14Advanced

Budgeting Quota So Parallel Agents in Antigravity 2.0 Don't Run Dry

Run several agents at once in Antigravity 2.0 and your quota can be gone by mid-afternoon, right when you need it for the real work. Here is how I measure per-agent consumption, find the Pro-vs-Ultra break-even, and budget so I never hit the ceiling.

Agents/2026-06-13Advanced

Designing Parallel Agent Changes So You Can Trace Them Later

Antigravity 2.0 became a control tower for many agents. Here is how to build an audit trail that lets you trace who changed what and why, designed from real operational failures.

Agents/2026-06-13Advanced

Instruction Drift in Scheduled Agents — A Three-Layer Design for Keeping Definitions, Docs, and Reality Aligned

Scheduled agents keep logging success even after their instructions diverge from reality. Here is the three-layer drift-detection design — definition, documentation, reality — I built after silent failures in my own operations.