What is Compound Engineering?
It is an AI-supported approach to work where each engineering step accumulates to facilitate the next.
Overview
Compound engineering aims to make the next job easier by carrying out each step of software development (planning, coding, review, learning) with artificial intelligence and recording the learnings. Thus, the gains accumulate over time, and the team works faster and more consistently each time.
How it works
While one artificial intelligence model performs a task, another checks the data, and the third presents the result to the user. These parts are connected to each other like a chain and work as a single system.
Where it is used
It is used in artificial intelligence agents and advanced data analysis platforms that automate complex workflows.
Commonly confused with
It is confused with 'fine-tuning', which is just training a single model, but compound engineering focuses on combining the capabilities of existing models.
Frequently asked questions
Why isn't one model enough?
In complex tasks, a single model may not always give the best results; combining parts reduces the margin of error.
Is this approach difficult?
Ensuring that the parts work together requires serious planning and engineering.
Related terms
Related tools
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →