Sawyer

The first AI agent for game development.

Contact for Pricing

Description

Sawyer is an advanced AI agent developed by Unakin, specifically engineered to support game development studios. It is designed to tackle a variety of complex and repetitive tasks that commonly arise throughout the game development lifecycle, allowing developers to focus on more creative aspects of game creation. Sawyer acts as a force multiplier, aiming to enhance team productivity and streamline workflows by addressing some of the most painful and repetitive challenges in game development.

Functioning as a general agent, Sawyer leverages a proprietary context engine to gain a deep understanding of a project's elements, from code and design documents to profiling and scene data. This enables it to assist with tasks such as automated bug fixing, performance optimization, rapid prototyping of game mechanics, code reviews, SDK integration, porting plan analysis, UI creation from Figma files, and player feedback analysis. Sawyer operates on an agent-led, human-controlled principle, ensuring that developers retain oversight and approve any significant changes before they are implemented.

Key Features

Bug Fixing: Evaluates relevant code, scene data, and more from a bug report to find a root cause and apply a fix.
Optimization: Iterates through potential improvements to help achieve set performance targets for games.
Rapid Prototyping: Plans, generates new scripts, and modifies existing code to quickly create working game mechanics from product descriptions.
Code Review: Analyzes pull requests to spot issues, suggest fixes, and flag potential risks before code hits production.
SDK Integration: Researches documentation, plans, and implements SDK integrations rapidly.
Porting Plan Analysis: Analyzes games to create clear porting plans, identifying platform risks and system-level blockers.
UI Creation from Figma: Translates Figma design files into clean, styled, and functional Unity UI components.
Feedback Analysis: Processes player feedback from various sources to surface sentiment, spot trends, and highlight important issues.
Complete Context Understanding: Utilizes a proprietary context engine to understand all relevant project context, including code, design documents, profiling data, and scene data.
Agent-led, Human-controlled: AI performs delegated tasks while humans maintain oversight, review work, and approve major changes.

Use Cases

Automating the identification and resolution of bugs in game code.
Streamlining the process of optimizing game performance to meet specific targets.
Accelerating the creation of functional prototypes for new game mechanics.
Enhancing code quality and stability through AI-assisted code reviews.
Simplifying and speeding up the integration of third-party SDKs into game projects.
Developing comprehensive and actionable porting strategies for existing games.
Converting UI/UX designs from Figma directly into working Unity UI elements.
Extracting actionable insights and identifying trends from player feedback data.

Frequently Asked Questions

Will Sawyer make changes to my project without my input?

No, Sawyer operates on an agent-led, human-controlled principle. You can watch Sawyer work and must approve any major changes before they are implemented, ensuring you retain full control over your project.

When can I onboard Sawyer onto my team?

Sawyer is currently available through a private beta program. You can book a call with the founding team to discuss if the beta program is a good fit for your company.