Turn your agent or model into an expert coder with curated custom datasets.
Trusted by Leading AI Teams
Data solutions
Red Teaming
Tap into a network
of expert programmers
Our vast network of vetted coding experts offers scalable data production for the languages, coding domains, and programming expertise of your choice.
Professional profiles
Backend engineers
Frontend engineers
Mobile developers
QA testers
Data scientists
Software architects
DevOps specialists
ML engineers
Coding languages
Python
C++
C#
Go
Ruby
Rust
JavaScript
TypeScript
CSS
Java
Kotlin
Scala
PHP
Bash
SQL
Swift
Dart
R
MATLAB
Solidity
Frameworks
Django
Flask
React
Angular
Node.js
.NET
Spark
Hadoop
Kafka
Kubernetes
Docker
TensorFlow
PyTorch
Vue.js
Next.js
Keras
Spoken languages
French
Korean
Ukrainian
Malay
Spanish
Russian
Vietnamise
English
Japanese
Bengali
Swedish
Filipino
Dutch
Tamil
Thai
Hindi
German
Refine foundation model capabilities for solving coding tasks and building advanced solutions with our custom datasets.
Code generation
Code completion, editing, translation, optimization.
Code understanding
Explanation, commenting, documentation, summarization.
Code testing
Debugging, fixing, unit test generation.
Code analysis
Correctness and efficiency analysis, vulnerability and malicious code detection, type prediction.
Tool usage
API, databases, and library usage.
Advance coding agents for complex, long‑horizon tasks
Empower coding agents and assistants to excel in end-to-end tasks requiring step-by-step reasoning and autonomous behavior. From environment interaction to code writing, testing, and error analysis—our curated data drives agentic capabilities.
Repository generation & prototyping
Creating complete repositories from natural language task descriptions.
Repository issue resolution & code review
Generating commits and code reviews and preparing pull requests based on repository issues.
Multi-turn chat assistance
Responding to user queries in dialogues involving natural language and code snippets.
Visual frontend development
Designing and implementing user interfaces based on specific requirements.
Data analysis
Preparing, transforming, visualizing, and modeling data, including debugging data pipelines and statistical analysis.
Case studies
Preferences labeling for code explanation
Client type:
Big tech
Experts:
Backend engineers
Frontend engineers
Mobile developers
Language:
English
French
German
Spanish
Volume:
10000 pairs
2000 per week
Application:
Improving code understanding and explanation capabilities for foundational coding model
Repository issue resolution
Client type:
Coding AI agents startup
Data type:
Agent’s trajectories evaluation
Experts:
Backend engineers
Software architects
DevOps engineers
Language:
English
Volume:
5000 trajectories
500 per week
Application:
Coding agent for repository maintenance and bug-fixing tasks
