How Pearl Technologies achieved a 3x productivity boost with Augment Cosmos

Pearl Technologies achieved a 3x productivity — Their goal for the next year is to automate 20–40% of all decision-making within the TMS, moving toward a "Human-in-the-Loop" system where AI agents handle the bulk of operational actions. This enabled the entire team to contribute to the agentic workflow regardless of their local machine's specs. 3.

Agent or tool: Augment
Topic: Software Development
Reported on: Blog (Augment)
Added: 2026-11-12

Why it matters

Coding agents are moving from autocomplete to doing whole tasks: reading a codebase, making a plan and changing many files. This case is a concrete example of where that works in practice. It is one of 221 sightings filed under Software Development on Agent Sightings (number 29 by interest), and one of 8 involving Augment.

How you could try it

Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Augment or any similar agent and adjust the details to your situation.

I want a coding agent to plan first, work on a branch, and show me the diff before anything is merged. The tool in the source case was Augment.

Saved

Tip: Work on a fresh branch, ask for a plan before edits, and review the diff and test results before merging.

Source

Read the original first-hand account on Blog (Augment): https://augmentcode.com/customers/how-pearl-technologies-achieved-a-3x-producti…. Our summary is a paraphrase; details are in the source.

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