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pre.dev

pre.dev is an AI coding agent designed for long-horizon tasks. It plans before coding, remembers across sessions, and runs autonomously for hours, delivering verified pull requests at a reduced token cost. It is model-agnostic and integrates with existing codebases.

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pre.dev is an advanced AI coding agent engineered to tackle complex, long-horizon development tasks that typically exceed the capabilities of standard AI models. Unlike other agents that may lose context or fail on extended projects, pre.dev excels by planning meticulously upfront, maintaining persistent memory across sessions, and executing autonomously for extended periods, often hours or even days.

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This agent's core strength lies in its ability to decompose large objectives into manageable steps. Before writing any code, pre.dev researches the goal, breaks it down into milestones, user stories, and subtasks, creating a detailed plan. It then executes these tasks in isolated, verified contexts, ensuring each step is validated before proceeding. This rigorous verification process includes type checks, linting, and visual browser verification, preventing the common issue of code that looks good but is functionally broken.

pre.dev is built for integration with existing workflows. It can reverse-engineer current repositories, adapt to any tech stack, and extend existing codebases without requiring projects to start from scratch. Each completed task is automatically submitted as a feature branch and pull request, ensuring that the main branch remains untouched and code is merged only after thorough review. This approach aligns with standard GitHub workflows, providing a secure and controlled development process.

The agent operates within a secure sandbox environment, eliminating risks to production systems. Its model-agnostic nature allows users to leverage different AI providers, preventing vendor lock-in and optimizing token costs. pre.dev is trusted by numerous startups and engineering teams for its ability to handle complex builds, multi-file refactors, and end-to-end development cycles efficiently.

  • CategoryAI Coding Assistants
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsWeb

  • AI-powered planning and decomposition of complex tasks

  • Persistent memory for remembering context across sessions

  • Autonomous execution for long-horizon development tasks

  • Automated code verification (type checks, linting, visual)

  • Model-agnostic architecture supporting multiple AI providers

  • Secure sandbox environment for code execution

  • Adaptive to any tech stack and existing codebases

  • Automatic feature branch and pull request generation

  • Cost-effective operation with reduced token usage

  • Integration with GitHub workflows for review and merging

  1. Describe your app idea: Provide a clear description of the project or task.

  2. Import Deep Spec: Define the project's architecture, user flows, and technical specifications.

  3. Start building: Initiate the autonomous coding process with the AI agent.

  4. Review and merge: Examine the generated pull requests and merge them into your codebase.

  • Autonomous Development
  • Code Refactoring
  • Prototyping
  • Long-Term Projects
  • Workflow Integration
  • Cost Optimization

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