The strategy focuses on automating game development processes by integrating AI tools. By the end of this year, the aim is to automate 50% of the development tasks, cutting down manual labor and improving the consistency and speed of updates in Unity projects. For example, AI-driven asset creation involves using tools like Promethean AI to generate high-quality game assets. These assets are tested against quality standards and integrated into development workflows, allowing for rapid deployment across projects.
Moreover, AI is leveraged in coding and debugging, with tools like OpenAI Codex identified for automating repetitive coding tasks and error detection. This not only enhances efficiency but also boosts the team’s skills through regular training sessions. In project management, AI tools such as Asana or Trello are explored to automate task assignments and deadlines, improve data collection analysis, and facilitate team collaboration.
The strategies
⛳️ Strategy 1: Integrate AI-driven asset creation
- Research AI tools like Promethean AI for generating game assets
- Create a library of high-quality AI-generated assets for Unity projects
- Implement workflows to incorporate AI assets in the development process
- Conduct testing to ensure AI-generated assets meet quality standards
- Automate asset update checks and integration across projects
- Develop a feedback loop to refine AI asset generation over time
- Train team members on using AI tools for asset creation
- Set benchmarks for asset generation speed and quality
- Continuously explore emerging AI technologies for asset creation
- Document integration processes and share best practices with the team
⛳️ Strategy 2: Implement AI for coding and debugging
- Identify tasks in coding and debugging that can be automated
- Research AI-driven coding tools like OpenAI Codex or Tabnine
- Incorporate AI tools into the existing coding environment in Unity
- Automate repetitive coding tasks like syntax corrections and formatting
- Utilise AI to generate and optimise code snippets for complex features
- Set up AI-assisted error detection and debugging processes
- Create guidelines for using AI tools during coding sessions
- Establish performance metrics to evaluate AI code and debugging efficiency
- Conduct regular evaluations and updates of AI coding tools
- Provide training sessions to enhance team skills in AI coding applications
⛳️ Strategy 3: Streamline project management with AI workflows
- Assess current project management workflow for areas of improvement
- Explore AI tools like Asana or Trello with automation capabilities
- Define tasks that can be automated within project management software
- Implement AI-powered tools to automate task assignment and deadlines
- Set up notifications and progress tracking mechanisms using AI
- Automate data collection and analysis to inform project decisions
- Develop a system for AI-driven risk assessments and alerts
- Facilitate collaboration by integrating AI communication tools
- Measure efficiency improvements through AI project management tools
- Host workshops to train the team on using AI for project management
Bringing accountability to your strategy
It's one thing to have a plan, it's another to stick to it. We hope that the examples above will help you get started with your own strategy, but we also know that it's easy to get lost in the day-to-day effort.
That's why we built Tability: to help you track your progress, keep your team aligned, and make sure you're always moving in the right direction.
Give it a try and see how it can help you bring accountability to your strategy.
