Google's Antigravity SDK provides developers with the runtime engine used in Antigravity 2.0 and the Antigravity CLI, enabling the construction of custom multi-agent control planes with declarative sa…
A developer explains harness engineering, a methodology for building reliable AI agent systems by designing deterministic guardrails around large language models. The approach, highlighted by an OpenA…
A developer built CodePilot, an open-source, embeddable Python runtime for coding agents, after finding that JSON tool-calling broke on large code payloads. The runtime uses a plain-text search-and-re…
A developer built an AI agent to curate dog images for training a machine learning model, automating a process that previously took weeks. The agent, created for the Google All Things Agentic Hackatho…
The Antigravity SDK, paired with Google's Gemini models, enables stateful, autonomous AI agents for Dart and Flutter developers. A community-maintained native Dart SDK bridges the gap, providing a zer…
Google is transitioning Gemini CLI into Antigravity CLI, a new agent-first platform for complex multi-agent workflows. A developer built an automated pull request reviewer using the Antigravity SDK an…
At Google I/O 2026, Google announced Antigravity 2.0, shifting its developer tooling from an IDE-centric AI assistant to a multi-agent workflow management system built around a single "agent harness."…
The Google IO '26 developer keynote highlighted new features in Google AI Studio, including one-click deployment to Firebase and Cloud Run and custom asset generation with Nano Banana. The keynote als…