Google Antigravity is changing the software development game. As a customized version of VS Code powered by Gemini 3, it lets developers focus on high-level strategy instead of getting bogged down in code. At Hidden Brains, we don’t just use AI; we design intelligent workflows that make vibe coding a practical reality for enterprises.
Building applications with Lovable goes beyond visual composition. To scale reliably, Lovable apps must sit on a solid foundation of frontend architecture, backend services, integrations, and cloud infrastructure.
Build AI-assisted and agentic development workflows using Google-native and open AI frameworks.
Languages most commonly used and supported in Antigravity-driven development environments.
Store, index, and retrieve code, documentation, and contextual knowledge efficiently.
Manage long-context code understanding, task memory, and agent state.
Enable semantic search, code reasoning, and AI-assisted navigation.
Deploy, monitor, and scale Antigravity-enabled development workflows.
Connect Antigravity with developer tools and enterprise systems.
Secure Antigravity development environments with enterprise-grade infrastructure.
Our experts move beyond piloting with Google Antigravity, utilizing vibe coding to seamlessly translate your business intentions into autonomous workflows. They configure AI agents to handle multi-file tasks, ensuring your development is fast, efficient, and aligned with your strategic vision.
Choose an engagement model that fits your product roadmap, delivery pace, and internal team structure. Whether you need sustained Lovable expertise, short-term implementation support, or on-demand assistance, our hiring options are designed for real product delivery, not experimentation.
Gives you ability to expand or reduce per your project scope.
Designed for sustained growth, stable products, and strong cultural alignment.
On-demand Antigravity expertise with complete control over time and budget.
Before you hire antigravity engineers, validate these essentials.
Ensure your Antigravity objectives, success metrics, and expected outcomes are clearly outlined before starting hiring.
Verify candidates have real, hands-on experience configuring and using Google Antigravity in working environments.
Look for solid proficiency in Python, TypeScript, and relevant tooling for advanced engineering workflows.
Check ability to build autonomous task flows, retrieval systems, and contextual knowledge pipelines.
Ensure familiarity with CI/CD, repositories, test automation, and deployment pipelines for enterprise environments.
Validate understanding of secure coding, access control, audit trails, and enterprise compliance.
Look for strong collaboration, clear articulation of complex topics, and creative problem resolution abilities.
Top developers deeply understand the workings of Google Antigravity, especially how AI agents are executed and how their state is preserved in the IDE. This knowledge ensures that AI workflows remain stable and effective in complex engineering projects.
Elite developers create structured prompt frameworks that turn high-level business intentions into specific technical results. They ensure smooth conversations across large codebases, avoiding errors typically seen in traditional AI systems.
Developers are skilled in Retrieval-Augmented Generation (RAG), ensuring AI agents use your private code and documentation. This guarantees that the AI's actions are always aligned with your existing business rules and architectural patterns.
Mastery of vector databases and embeddings is essential. Skilled developers optimize how Antigravity retrieves and processes past context, enabling AI to reason across millions of lines of code without performance issues.
True leadership involves building AI agents that can work independently. Developers design systems where agents plan and execute multi-step tasks, making code changes across files and managing the development cycle with little human oversight.
Antigravity must fit into a larger ecosystem. Expert developers integrate the IDE with CI/CD pipelines, Git version control, and cloud-based testing tools, transforming vibe coding into a fully automated production process.
Top developers ensure the security of AI-driven workflows. They set up strict access controls, audit trails for AI-generated code, and ensure data privacy during AI model operations to meet high enterprise standards.
Vibe coding at scale demands a strong understanding of token usage and model latency. Developers optimize workflows to balance high-quality results with predictable costs and quick execution.
Experts implement automated testing systems that continuously monitor AI outputs. They set up processes to track the reliability of the "intent-to-code" pipeline, ensuring that every deployment is error-free and meets high standards.
Elite developers provide transparency by explaining complex AI decisions. They break down the logic behind AI actions, turning the "black box" of AI into a clear, auditable asset for the organization.
While many hiring routes focus on basic AI tooling or early experimentation, Hidden Brains provides production-ready Google Antigravity developers built for scale, governance, and measurable engineering outcomes.
| Factor | Hidden Brains | In-House Team | Recruitment Agencies | Freelancers |
| Antigravity Expertise | Pre-vetted mid & senior Antigravity engineers with real-world implementation experience | Often limited to general developers learning Antigravity | Depends on available profiles | Highly inconsistent |
| Time to Hire | 48–72 hours | 4–6 weeks | 2–4 weeks | Days or weeks |
| Use-case Understanding | Strong alignment across agentic workflows, IDE automation, and DevOps integration | Requires ramp-up and training | Varies by candidate | Often shallow |
| Engagement Models | Flexible: full-time, part-time, hourly | Fixed payroll | Fixed retainers | Hourly or fixed |
| Collaboration Structure | SLA-driven, process-aligned delivery | Workload dependent | May vary | Individual dependent |
Get clear answers to common questions about hiring Antigravity developers, engagement models, security considerations, timelines, and enterprise adoption.
Expert insights on Google Antigravity, AI code editors, agentic development, and modern engineering workflows.