Intelligent Engineering

Yanshi

AI-Powered Autonomous Software Development Engine

Named after the legendary craftsman from Liezi who built self-acting automatons — the Yanshi engine runs 24/7 unattended, autonomously completing the full software development pipeline

14
Pipeline Stages
7×24
Non-Stop Operation
10+
Tech Stacks Supported
5
Budget Layers

Core Capabilities

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14-Stage Autonomous Pipeline

Complete closed loop from requirement discovery, solution design, coding, code review, automated testing, quality validation to code merge. Humans only intervene at critical approval checkpoints

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Intelligent Requirement Discovery

AI autonomously scans project code and roadmaps, quantifying requirement value through 5-dimension scoring. Independent cross-review ensures no low-value work gets through

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Multi-Project Concurrent Scheduling

Async coroutine-driven scheduling engine managing multiple projects across different tech stacks simultaneously, with 10-second granularity precise scheduling

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5-Layer Budget Protection

Daily absolute cap → session budget → project total → per-call budget → stage lookahead deduction. Every dollar spent where it matters most

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Code Safety Isolation

Each task develops on an independent Git branch — main branch is never touched. Command blacklist + whitelist dual filtering, with security scanning to auto-block sensitive information leaks

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Project Knowledge Accumulation

After every code merge, automatically maintains a project knowledge base (structure index, change log, lessons learned). Historical knowledge is injected when new tasks start — the AI becomes increasingly familiar with the project

Product Details

Like the automatons in Liezi that could sing and dance on their own, the Yanshi engine lets AI autonomously complete the entire software development process. It's not a code completion tool but a complete autonomous development engine — from discovering what needs to be done, designing how to do it, writing code, testing, to merging. A 4-tier smart replanning mechanism (syntax fix, logic retry, solution redesign, human escalation) ensures the system autonomously selects the optimal recovery strategy when hitting obstacles, rather than repeatedly hitting the same wall. Stage-level model optimization uses lightweight models for judgment tasks and high-capability models for creative tasks, precisely controlling ROI at every stage.

Let AI Be Your Development Team

From requirement discovery to code merge — the Yanshi engine drives it all, freeing engineers to focus on creativity

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