About Hydite: the AI-native IDE for shipping full-stack products

Founder#

Yike Wang is the founder of Haokir Inc. Yike Wang is also the developer of Hydite and Hydite Vtslx AO.

At Haokir, we are committed to building the infrastructure for the next era of development and intelligence. Our flagship product, Hydite, is an intelligent development environment designed to redefine how engineers interact with code through an enterprise-grade, command-driven workflow.

To empower enterprises leveraging generative AI, we built Vtslx AO, a unified LLM API aggregation and orchestration platform. It consolidates hundreds of frontier models globally and domestically into a single, OpenAI-compatible gateway. Vtslx AO is architected for enterprise-scale workloads, offering Shared Edge Instances for low-latency distribution, as well as Dedicated Instances for organizations requiring single-tenant isolation, strict data residency, private model deployment, and private or hybrid-cloud hosting.

Hydite is an AI-native IDE for building real software, not just generating snippets. It combines a code editor, project-aware AI agents, product infrastructure, model access, design surfaces, and deployment workflows into a single workspace. The goal is simple: help small teams move from idea to working product without stitching together a dozen separate tools before they can ship.

The product is built for people who need speed without giving up ownership. A solo founder can describe a product and iterate toward a working app. A developer can keep full control over code, schema, branches, and deployment. An agency can use the same workspace to build client products, manage data, and automate repeated delivery work. An internal product team can give agents enough context to help across backend, frontend, testing, design, and operations.

What Hydite does#

Hydite starts where a normal IDE stops. The workspace understands your code, your data model, your product surfaces, and the agent workflows running around them. You can ask an agent to plan a feature, inspect the codebase, modify files, run commands, test the change, and come back with the result. For larger work, Hydite is designed around multi-agent execution: different agents can take specialized roles, work in isolated branches or worktrees, and return focused changes for review.

The platform also includes the infrastructure new products usually need on day one. Every project can use a Postgres database, authentication, object storage, realtime channels, serverless or edge-style extensions, generated APIs, version control, preview environments, and one-click deployment. Instead of treating the IDE, backend dashboard, deployment console, and model gateway as separate systems, Hydite brings them into one product loop.

Who Hydite is for#

Hydite is built for builders who want to ship complete products with a smaller team.

• Founders can move from a rough idea to a deployed prototype, then refine it through conversation and code review.
• Full-stack developers can use agents for implementation, testing, debugging, database design, and long-running maintenance work while keeping direct control over the repo.
• Agencies and studios can repeat client delivery patterns with reusable skills, templates, Smart Extensions, and product workflows.
• AI builders can route work across different model providers, add tool-calling agents, and connect MCP services without rebuilding the same plumbing for every project.
• Product and design teams can use Hydite's design surfaces to keep UI iteration closer to code, data, and deployment.

Hydite is especially useful when the work crosses boundaries: a feature that needs a database migration, auth policy, API endpoint, UI state, tests, deployment, and a follow-up agent task. Those boundaries are where separate tools usually slow a team down.

What Hydite supports#

Hydite supports the core stack required to build and operate modern AI-assisted products:

• AI agents and multi-agent workflows. Agents can plan, edit code, run tools, inspect output, coordinate specialized tasks, and work in isolated execution contexts.
• Model routing. Hydite is designed to work across providers such as OpenAI, Anthropic, Google, DeepSeek, Qwen, Kimi, GLM, and local or private models when configured.
• OpenAI-compatible API gateway. Teams can connect apps and agents through a familiar API surface while Hydite handles routing, access, and product policy.
• Postgres database. Projects can use full SQL, relational data modeling, Row Level Security, generated APIs, and extensions such as vectors for AI workloads.
• Authentication. Built-in user management supports common login flows and policy-driven access control for real applications.
• Object storage. Applications can store files, generated assets, images, and user uploads with access control integrated into the project.
• Realtime channels. Hydite supports live dashboards, collaborative interfaces, presence, broadcasts, and database-backed realtime updates.
• Smart Extensions. Server-side logic can run close to the product for webhooks, custom APIs, scheduled work, and AI orchestration.
• MCP and tool integrations. Agents can connect to external systems such as design tools, data services, payments, internal APIs, and operational platforms.
• Design and product generation. Hydite includes design-oriented surfaces for turning ideas, references, and UI work into production-facing code.
• Version control and deployment. Work is tracked, reviewable, reversible, and deployable through the same product workflow.

Why it matters#

AI can write code quickly, but shipping software still requires context, execution, state, infrastructure, and review. Hydite focuses on that full loop. The agent needs to understand the repo. The database needs to match the product. The generated UI needs to become maintainable code. The deployment needs to be repeatable. The team needs visibility into what changed and why.

That is why Hydite is not positioned as a chat box beside an editor. It is a product workspace where agents, infrastructure, design, and deployment share the same context. A small team can ask for a feature, inspect the plan, let agents do the mechanical work, verify the result, and keep shipping.

The result#

Hydite gives builders a single place to design, code, connect models, manage data, automate workflows, and deploy. It is meant for teams that want the leverage of AI agents without losing the engineering discipline of source control, tests, security boundaries, and production infrastructure.

• One workspace for code, agents, data, design, and deployment
• Built-in app infrastructure: Postgres, Auth, Storage, Realtime, and Smart Extensions
• Model-provider flexibility through routing and an OpenAI-compatible gateway
• Agent workflows that can plan, execute, test, and report back
• A product loop designed for founders, developers, agencies, AI builders, and product teams

What's next#

Hydite's direction is to make software creation feel less like coordinating separate dashboards and more like operating one intelligent product environment. The roadmap centers on deeper multi-agent workflows, stronger mobile app generation, richer plugin and skill marketplaces, real-time team collaboration, self-hosted options, and broader regional support for model providers and infrastructure.

The long-term goal is not to replace developers. It is to give builders a workspace where AI can safely take on more of the repetitive execution while humans keep control of product direction, architecture, quality, and release decisions.