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pre.dev is built to provide professional engineering teams with hyper-intelligent and cost-efficient coding agents. These agents deliver scalable, self-verifying, and model-agnostic software development. Enterprise software development requires agentic coding that deeply understands system architecture, mitigates technical debt, and respects your compute budget. Why Engineering Leaders Choose pre.dev: Architecture-First & Self-Verifying: pre.dev maps out full system architectures, user stories, data schemas, and acceptance criteria upfront. Tasks are integrated into a long-term execution graph with automated QA running after every single task, stopping codebase pollution before it starts. True Token Efficiency: ROI is won or lost in the harness layer. By leveraging recursive context compaction, tool optimization, and forward-looking planning, pre.dev delivers a 3x cost saving while outperforming standard coding agents on Terminal-Bench. True tokenmaxxing means maximizing your engineering efficiency per token. Model-Agnostic: The planning layer allows pre.dev to predict the complexity of upcoming tasks and route individual subtasks to the absolute best underlying model for the job. This ensures a consistent coding workflow without worrying about the shifting dynamics of any single model provider, completely eliminating vendor lock-in. pre.dev lets you plug and play different API keys or utilize native optimization. If an API changes or a new model takes the lead, you can swap the underlying infrastructure instantly without altering your internal workflows, custom tools, or execution ergonomics. 60+ Hour Long-Horizon Autopilot: Driven by proprietary learning loops and strict in-loop constraints, our agents run autonomously for days without context drift, executing complex workflows without requiring you to babysit a local terminal. Build professional and token-efficient agentic coding workflows with pre.dev.

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Arjun Jain is the Founder of pre.dev.

6 people are employed at pre.dev.

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