Solutions
Technology for autonomous engineering.
Two complementary technologies: one measures and improves AI coding systems; the other puts autonomous end-to-end testing into practice.
The control layer for autonomous coding.
Pandora measures and improves complete AI coding systems against real repository tasks, architecture and engineering standards.
- 01
Evaluate
Score real engineering work against your own standards.
- 02
Optimize
Compare models, agents, prompts, tools and context.
- 03
Tune
Turn verified work into data for repository-adapted models.
From a prompt to autonomous end-to-end testing.
ROA pairs open-source Java testing architecture with Pandora-optimized agent configurations so AI can generate, execute and maintain tests using consistent engineering standards.
Our approach
Autonomy is engineered, not assumed.
Build on sound architecture. Evaluate against real standards. Optimize what works. Adapt from verified results. Increase autonomy as evidence and controls allow.
-
01
Build
Build systems grounded in real workflows and sound engineering.
-
02
Evaluate
Test performance and quality against meaningful standards.
-
03
Optimize
Improve agents, models, tools and workflows through evidence.
-
04
Adapt
Learn from validated results and refine the system over time.
-
05
Autonomy
Delegate defined work to systems with measurable quality and appropriate oversight.
Get started
Start with the systems you already have.
Start with a real repository, workflow or engineering challenge. We’ll identify what can be improved now, and what it takes to move further toward autonomy.