Autonomous Coding

Extracted Attributes

Google Antigravity

Google Antigravity is an AI-powered integrated development environment (IDE) developed by Google, designed for prioritizing AI agents platform for software development. Announced on November 18, 2025 alongside the release of Gemini 3, Antigravity enables developers to delegate complex coding tasks to autonomous AI agents powered primarily by Google's Gemini 3 Pro , Gemini 3 Deep Think (also called Gemini 3 Pro (High)) and Gemini 3 Flash models. The platform is built as a fork of Visual Studio Code, with debate whether it is a direct fork of it, or an indirect fork of it because it is a fork of Windsurf which is itself a fork of Visual Studio Code. Google Antigravity supports multiple AI models, including Anthropic's Claude Sonnet 4.5 and Claude Opus 4.5, as well as open-source variant of OpenAI models (GPT-OSS-120B). Antigravity was released in public preview on the day of its announcement and is available free of charge for Microsoft Windows, macOS, and Linux, with "generous rate limits" for Gemini 3 Pro usage.

Web Search Results

• What Is Autonomous Coding? Definition & How It Works

  ## Make Coding a Craft, Not a Chore Zencoder AI Agents take on the repetitive and mundane work helping you stay in the zen state. Download now ## What is Autonomous Coding? Autonomous coding is the use of advanced AI to automate software development tasks that traditionally required human programmers. Instead of just helping with small suggestions, the AI can take over major parts of the coding process, turning high-level instructions into working code with minimal human input. [...] Automate bug fixing, code reviews, refactoring, and test generation with Autonomous Agents that eliminate bottlenecks and help your team ship faster with greater confidence. Debug and refactor code across multiple files with a smart Coding Agent that quickly fixes issues, automates complex workflows, and accelerates app development. Get intelligent code suggestions, automatic code generation, and real-time reviews from an all-in-one AI coding assistant that boosts productivity from day one. [...] The market for autonomous coding is expected to reach $88 billion by 2030, as AI moves from assisting developers to actually writing, testing, and deploying code on its own. But what does that really mean? Everywhere you look, “autonomous coding” is being hailed as the future of development, but few explain what it actually is or how it works. To help you understand what is autonomous coding, we’ll break down its definition, explore how it functions, and look at the impact it could have on the

• How Autonomous Coding Reduces Clinician Burden and ...

  Autonomous Coding is a critical link in a larger, end-to-end revenue cycle workflow that’s part of the patient journey. Paired with Commure Engage and Ambient AI at the front end and supported by the back-end intelligence of Commure RCM, it forms a unified chain from clinical conversation to coded, optimized claim. This cohesion is what transforms isolated gains in efficiency into system-level improvement for patients, clinicians, and operations. [...] Autonomous Coding serves as a pivotal connector within a comprehensive, end-to-end revenue cycle ecosystem that mirrors the full patient experience. When used alongside Commure Ambient AI and its Clinical Documentation Integrity module (aka CareCues) at the point of care, and reinforced by the downstream intelligence built into Commure RCM, it creates a continuous thread from the clinical encounter through to a fully coded, comprehensive claim. This seamless alignment elevates individual [...] Autonomous Coding, in many ways, is the downstream benefit of the sophisticated machine learning work behind our Ambient product. The depth of clinical language understanding built into Ambient is what enables AC to reach the level of accuracy and reliability we’re targeting. That clarity makes it easier to position, explain, and introduce this technology in a way that resonates with health systems.

• autonomous-coding - GitHub

  ## README.md Outline # Autonomous Coding Agent Demo A minimal harness demonstrating long-running autonomous coding with the Claude Agent SDK. This demo implements a two-agent pattern (initializer + coding agent) that can build complete applications over multiple sessions. ## Prerequisites Required: Install the latest versions of both Claude Code and the Claude Agent SDK: ``` # Install Claude Code CLI (latest version required) npm install -g @anthropic-ai/claude-code [...] ``` autonomous-coding/ ├── autonomous_agent_demo.py # Main entry point ├── agent.py # Agent session logic ├── client.py # Claude SDK client configuration ├── security.py # Bash command allowlist and validation ├── progress.py # Progress tracking utilities ├── prompts.py # Prompt loading utilities ├── prompts/ │ ├── app_spec.txt # Application specification │ ├── initializer_prompt.md # First session prompt

• Autonomous Coding to Future-Proof Your Revenue Cycle

  Autonomous coding offers many benefits compared to both traditional and Computer-Assisted Coding (CAC). These benefits form the framework of a robust RCM system: [...] Ready to take the leap from traditional to AI-driven medical coding? Aidéo could be your ultimate autonomous coding solution! Here’s why: Aidéo’s Gemini Solution Suite™ empowers medical coders through the combination of Gemini Coder Portal™ and Gemini AutoCode™ solutions. Aidéo’s portal, in tandem with AI-driven coding, allows medical coders to concentrate on higher-value, complex coding as the AI learns and processes routine coding tasks. [...] Autonomous coding is an automated technology that accurately converts medical charts into standardized alphanumerical codes in seconds without typically needing human intervention. The thing about autonomous coding is that it understands context and assigns codes only for charts it fully understands while flagging the complex ones that require human review. #### The Evolution of Autonomous Medical Coding

• Autonomous Coding Agents: Beyond Developer Productivity

  Among existing ACAs, OpenHands (Cloud) stands out for providing full remote programmability and unconstrained interaction in the cloud, resulting in unlimited scalability. Developers can control autonomous coding agents via SDKs with the same flexibility and precision as an LLM endpoint. Beneath this simplicity lies a sophisticated reasoning loop. Invoking an ACA triggers a cycle of code generation, execution, and self-correction within a secure sandbox, yielding reliable, verifiable results. [...] The real distinction with autonomous coding agents lies not just in how they create software, but in how they become part of it. Early ACAs were external assistants, tools that generated or modified code. Now, they can be embedded directly within applications and their execution environments, turning the software itself into an adaptive, reasoning system. [...] Figure 1: Traditional software development using autonomous coding agents (ACAs) produces static software, systems that execute predefined logic but remain disconnected from real-world changes and evolving user needs. In the new paradigm, ACAs are not only used to create software but are embedded within it, enabling applications to reason, adapt, and respond dynamically as data, context, and user intent evolve. ## From Generative AI to Agentic Systems