Pour Your Unattended Run Logs into SQLite and Count Failures Across Every Run
Running Antigravity CLI on an unattended schedule leaves a growing pile of JSON Lines logs. Instead of grepping files, I pour them into a tiny SQLite database and answer 'which step fails, and when' with a single query. Here is the ingest script, six diagnostic queries, and six weeks of real numbers.
Strip Secrets Out of the Agent Logs You Keep: Designing a Redaction Layer
Once you start keeping logs from unattended agents, a token or API key eventually lands in them in plaintext. Rotating the key doesn't unmake the leaked log. This designs a redaction layer that reliably drops secrets right before the write, going beyond regex to register known secrets and mask them for certain, with working Python and field notes.
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.
Tracking AI Agent Decisions in Antigravity: Implementing Decision Logs and Explainability
Learn how to design decision logging systems that capture why your AI agents make specific choices. Includes working Python code examples, Before/After patterns, and a quality improvement cycle for production Antigravity agents.