Building a Multi-Agent Terminal Environment
Published: August 15, 2026
Author: Andromity Team
Building a terminal coding assistant requires more than just calling a chat endpoint. Standard single-agent loops tend to get stuck, lose context, or generate syntax errors.
In this post, we discuss the engineering behind Andromity's collaborative multi-agent architecture and how we moved from a basic chat prompt to a stable pipeline of planning, execution, testing, and auditing.
When a single LLM prompt is tasked with:
- Understanding a 100-file project,
- Deciding which files to edit,
- Generating the code changes,
- Validating syntax correctness...
It frequently suffers from cognitive overload. It might write beautiful code, but put it in the wrong file, or break existing functions because it forgot details from a dependent module.
To solve this, we decoupled the execution loop into dedicated system profiles. Each profile acts as a specialist agent:
+---------------+ +-------------+ +-------------+ +---------------+
| Planner Agent | ---> | Coder Agent | ---> | Tester Agent | ---> | Reviewer Agent|
| (Research & | | (Fine-grain | | (Executes | | (Final Auditing|
| Architecture) | | File Edits) | | Tests/Logs) | | & Git Diff) |
+---------------+ +-------------+ +-------------+ +---------------+Each of these runs with a unique system instructions and constraints, ensuring they stay focused on their exact role.
The Planner has wide read access but is blocked from writing file changes. Its only job is to write out an implementation_plan.md in markdown format. By restricting its output space, the LLM focuses purely on reasoning through the code structure.
Once the developer approves the plan, the Coder takes over. It has access to granular edits (like edit_file to replace specific substrings). It is instructed not to invent new approaches but to strictly execute the items listed in the approved implementation_plan.md.
The Tester runs build tests. If a compile error occurs, the Tester captures the stack trace and feeds it back to the Coder. This cycle continues until the codebase builds successfully.
By orchestrating multiple specialist agents in a stateful loop, Andromity increases success rates for multi-file refactors from ~30% to over 82%. And best of all, it happens right inside your terminal panel.