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ZD AI AGENT · Vehicle R&D and Testing Agents

Code Development Agent
Scripts generated automatically

Code Development Agent

Built on large language models and an industry knowledge base, the agent generates test scripts and control code in multiple languages, with intelligent completion, comment generation and error parsing. Script development is 3-5x faster.

3-5x
Faster script development
70%
Code acceptance rate
40,000+ lines
Code generated
400+ users
Users at one customer
3-5x codingCODE · GENERATION
LLM Industry knowledge base RAG retrieval Automated execution
WORKFLOW

Workflow

1
Requirement description
2
Model generation
3
Code completion
4
Debugging and verification
5
Script delivery
3-5x
Script development efficiency
70%
Code acceptance rate
40,000+ lines
Generated for one customer
6
Large projects covered
ADVANTAGES

Advantages

01Higher efficiency

Script development is 3-5x faster, code acceptance reaches 70%, and repetitive coding is reduced.

02Multi-language support

Supports mainstream languages including Python, Java, XML, C and JS, covering testing, control and diagnostics.

03Intelligent assistance

Completes code automatically, adds standard comments, parses error messages and suggests debugging steps.

04Proven in the field

Deployed at an NEV manufacturer with incremental pre-training, SFT and RAG retrieval, covering 6 large projects.

SERVICES

Services

TECH STACK

Technology Foundation

01LLM engine

A large language model serves as the reasoning core, tuned on automotive R&D and testing corpora to support requirement parsing, root cause reasoning and code generation.

02Industry knowledge base + RAG

Brings together ZD simulation knowledge, historical fault cases and diagnostic experience with retrieval-augmented generation, so output matches real engineering contexts.

03On-premises deployment

Supports local and private-cloud deployment so R&D data never leaves the company, meeting OEM data security and compliance requirements.

04Closed-loop automated execution

Agent output connects directly to test execution, simulation scheduling and ticketing systems, so results flow automatically and are tracked to closure.

CASES

Deployments

01NEV manufacturer in Beijing · LLM-assisted code generation

Around 70% code acceptance (31% used as-is plus 41% with minor edits), more than 40,000 lines generated across 6 large projects, script writing nearly twice as fast, used by more than 400 engineers.

02Technical approach

Three-stage tuning with incremental pre-training, SFT and RAG retrieval, covering test scripts, diagnostic scripts and PLC and fixture control code.

Code Development Agent

ZD Technology · AI agents for vehicle R&D and testing