OpenAI Codex and Google Antigravity differ in architecture and workflow

OpenAI Codex and Google Antigravity represent two distinct AI‑coding paradigms [DevTo]. OpenAI released Codex 2.0 in March 2026, packaging a large‑language model that can ingest a repository, generate patches, run unit tests, and push a pull request [Poniak Times]. Google unveiled Antigravity in February 2026 as an "agent‑first development environment" that spawns multiple agents to edit code, issue terminal commands, render a browser preview, and produce artifacts for human review.

Both tools expose REST APIs and IDE plugins, but their integration points differ: Codex hooks into CI pipelines, while Antigravity hooks into the editor and browser layer. Codex mirrors the traditional software delivery lifecycle, allowing teams to drop it into their pipelines with minimal friction [DevTo]. Antigravity’s agent orchestration includes a browser verification stage, enabling developers to generate a UI prototype, capture screenshots, and compare visual regressions before any code is merged.

The key differences between Codex and Antigravity have significant implications for development workflows. Codex extends existing tooling, turning a single LLM into a code‑review bot. Antigravity introduces a new control plane that coordinates multiple agents, demanding a shift in how teams think about ownership, security, and observability [Poniak Times]. Companies that need rapid, repeatable backend fixes will likely gravitate toward Codex’s task‑centric model, while product teams building interactive front‑ends will find Antigravity’s agent‑first approach more compelling.