Rolling Back a Half-Finished Agent: Compensating Transactions for Partial Failure
When you let an Antigravity agent run work that spans several external systems, a failure in the middle leaves the world half-rewritten. Retrying doesn't fix that. Here is how to fold it back safely with compensating transactions (the Saga pattern), with TypeScript and real operational numbers.
Flow Control for Autonomous Agents: Backpressure and Queues That Keep Production Alive
Run several Antigravity agents at once and the problem stops being how smart they are and becomes how little your downstream can absorb. Here is a flow-control design — bounded queue, semaphore, token bucket, backpressure, dead-letter — with TypeScript and real numbers.
Build for the Day the Agent Breaks Something: Keeping Blast Radius Small
Once you let an Antigravity agent touch production, the problem stops being how smart it is and becomes how much it wrecks when it slips. Here is a four-layer containment design that shrinks blast radius, with TypeScript and real numbers.
Copilot Studio's Computer-Using Agent Next to How I Run Claude in Chrome Every Morning
Microsoft made Copilot Studio's Computer-Using Agent generally available. Here is how that announcement looks from the perspective of an indie developer who already runs Claude in Chrome against AdMob and Crashlytics every morning.
Debugging in the AI Agent Era — When to Trust and When to Question
Working with AI agents fundamentally changes how you debug. The question of 'where do I look first?' has shifted — and staying stuck in old habits means getting stuck in new ways. Here's how to recalibrate.
gh skill: Sharing AI Agent Knowledge Across Claude Code, Copilot, Cursor, and Gemini CLI
The gh skill GitHub CLI extension lets you package SKILL.md definitions and distribute them across 30+ AI coding agents. Here's how it works and how to get started.
A Practical Guide to Designing Multi-Agent Workflows with Google ADK
Learn how to design and implement multi-agent workflows using Google Agent Development Kit. Covers orchestrator and sub-agent role design, state passing, parallel execution, and graceful error handling with real examples.
Designing Antigravity's Architect / Builder Mathematically — Agent Design Through the Lens of Search, Classification, and Inference
Antigravity's Architect/Builder split looks suspiciously like the math behind search engines and classifiers. Here is a way to think about agent design using the language of weighting, candidate pruning, and probability — for more stable, reproducible agents.
AI Agent Orchestration Design Patterns — Task Decomposition, Handoffs, and Loop Control
A practical look at the design challenges you encounter when actually running AI agents: task decomposition granularity, sub-agent handoff structures, and reliable loop termination.
Engineering Quality Into AI Agents — When Autonomous Execution Breaks and How to Prevent It
Autonomous AI agents degrade over time. This article shows how to catch the decay before it breaks, with multi-stage verification gates and a failure dictionary that lets agents self-recover — drawn from running four sites with multiple agents in parallel.
An Observability Blueprint for Antigravity Agents in Production
A definitive guide to designing observability for AI agents running on Antigravity in production. Presents a practical framework that unifies traces, metrics, and outcome logs.
Shipping an Antigravity Agent as a Paid API — Gateway Design, Usage Billing, and Enterprise Pricing from Scratch
A complete implementation guide for turning Antigravity agents into a billable API service. Covers API gateway, API key management, token tracking, Stripe Metered Billing, rate limiting, and enterprise SLA design — with production-ready code throughout.