All Articles
Debugging Antigravity AI Agents: A Systematic Diagnosis Guide
A systematic approach to diagnosing AI agent failures in Antigravity—covering startup failures, tool call errors, loop detection, and incorrect behavior—with practical debugging patterns for each.
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.
Building an Agent-Driven SaaS on Antigravity and Stripe — A Complete 2026 Implementation Guide
An end-to-end implementation guide for shipping an automation SaaS built on Antigravity's agent capabilities, Stripe, and Cloudflare Workers — covering task queuing, concurrency control, webhook handling, and the agent-specific edge cases (timeouts, partial failure, cost runaway) that always show up.
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.
Can Antigravity Post to Instagram and TikTok Automatically? — Building an SNS Marketing Automation Pipeline
Learn how to build an automated posting pipeline for Instagram and TikTok using Antigravity agents. From Meta Graph API setup to TikTok Content Posting API integration, this guide walks you through a working implementation.
Multi-Agent CI/CD Quality Gate — Automating PR Review, Testing, and Security with Antigravity × GitHub Actions
A complete implementation guide for building a multi-agent CI/CD quality gate using AgentKit 2.0 and GitHub Actions. Covers parallel code review, test generation, and security scanning agents — with production cost management and pitfall solutions.
Replacing Prompt Engineering with DSPy in Antigravity: A Production Playbook for Self-Optimizing LLM Programs
Replace hand-tuned prompts with self-optimizing LLM programs in Antigravity — DSPy signatures, optimizers, evaluation, and production deployment.
When Parallel Antigravity Agents Fight Over the Same File — Preventing Conflicts and Surviving Real-World Race Conditions
Running Antigravity agents in parallel surfaces five concrete kinds of conflict and three classic race conditions. This guide walks through each one with reproducible failures and the locking, optimistic, and queue-based fixes I actually run in production.
Antigravity Agent Shadow Mode Production Rollout Guide — A Safer Way to Test New Versions
How to safely roll out new versions of an Antigravity AI agent by mirroring real production traffic to the new version without affecting users — design, implementation and rollout playbook.
Building Validation Loops in Antigravity Agents: 3 Patterns for AI-Verified Output
Make your Antigravity agents verify their own work. This guide walks through three practical validation loop patterns — Self-Verifier, Critic-Approver, and Test-Driven — with working code examples in AgentKit 2.0.
Teaching Antigravity Agents to Learn from Failure — A Solo Developer's Loop for Reusing Failure History
Antigravity agents repeat the same mistakes because each session starts blank. A solo developer's six-month run with a structured failure log, a separate observer agent, and the side-effect of overfitting.