boost your AI software engineering agent/model by training it on long-horizon challenges.

Plug your agent in our large-scale simulated environment or get the raw human-generated data.

$ what-is-engineerdata
// Engineerdata.ai offers:
1. Access to human-generated solutions for long-horizon software engineering challenges
2. Direct API access to our large-scale simulated environment for training AI agents
$ why-choose-engineerdata
As public code data dries up, we provide the next wave of rich, long-horizon training data for code agents.
Get Early Access Talk to Sales
Over 75% of high-quality public code repositories are already consumed in existing model training sets.

Get access to real (synthetic and human-generated) engineering data from our large-scale simulated environment.

How engineerdata.ai works

We provide the critical training data and environment that AI-powered coding agents need to evolve beyond simple autocomplete

1

Training Engineers

We've built a large-scale simulated learning environment for software engineers with thousands of realistic DevOps, Data, and MLOps challenges.

$ ./init-workspace --type=mlops
2

Capturing and Selling Data

We record detailed interactions as engineers solve problems, creating a continuous pipeline of fresh, human-annotated engineering sessions that you can license.

$ telemetry --record --include=keystrokes,commands,errors
3

Infrastructure for AI

We provide API access to our simulated environment - the AI industry's training gym where your autonomous agents can practice, fail, and learn rapidly in realistic scenarios.

$ agent-training --parallel=200 --challenge=kubernetes-debug

Our Offering

Two powerful ways to leverage our platform for your autonomous coding agents

Dataset Licensing

Authentic human engineering data at scale solving long-horizon challenges

✓

Hundreds of thousands of annotated human-attempt hours

✓

Complete workflows spanning hours, not just snippet-level solutions

✓

Every keypress, command, error, and success path recorded

✓

Continuous pipeline of fresh engineering sessions

✓

Metadata annotations for context switches and explicit reasoning

Talk to Sales

API Access

Direct integration with our simulated environment

✓

Train AI agents directly in our simulated environment

✓

Access to 1,000+ realistic engineering scenarios

✓

Replay engine for visualizing human problem-solving

✓

Direct integration with major training frameworks

✓

Custom challenges available for enterprise customers

Talk to Sales

Start Building Better AI Coding Agents Today

Engineering data is becoming as valuable as code itself. Partners who integrate earliest gain persistent advantages in agent capabilities.

Get Early Access

Frequently Asked Questions

How is this different from synthetic data generation?
Engineerdata.ai captures actual human problem-solving patterns, including exploration, backtracking, and tool selection—behaviors extremely difficult to synthesize realistically.
Do you support custom challenges?
Enterprise tier customers can deploy proprietary challenges mirroring their specific technical environments.
How fresh is your data?
Our continuous recording pipeline ensures data remains current with evolving engineering practices. 93% of our sessions are less than 6 months old (Internal metrics, 2025).
What formats do you support?
We provide structured JSONs, raw telemetry streams, and pre-processed datasets optimized for major fine-tuning frameworks.
Is this compliant with data privacy regulations?
Yes. All engineers explicitly consent to recording, and we maintain rigorous processes to prevent PII from entering the dataset.