Playtika AI

Mastering AI Coding Tools Evaluation

By Mykola Kondratiuk

As a Tech Ops & IT project manager, I have been part of the AI revolution in software development from the very beginning. In this blog post, I will share some practical tips and insights to help you conduct effective and efficient AI tool evaluations.

The AI Paradigm Shift

The rise of AI tools is transforming software development, by making coding more intuitive, efficient, and aligned with futuristic visions. These tools have the potential to revolutionize the way we develop software, but it’s important to remember that security and legal considerations (such as privacy) must remain top priorities to protect our digital assets.

Before Diving into the POC

Set Clear Expectations: Before embarking on a POC, it is crucial to define the goals and objectives of the project. What do you hope to achieve with this POC? Which key metrics will you use to measure success? Clearly communicating these expectations to all stakeholders ensures everyone is on the same page.

Understand the AI Tool Lifecycle: AI tools, like any other software, go through different stages of development, from private beta to general availability. It is important to understand the maturity level of the tool you are evaluating to set realistic expectations.

Address Legal and Security Concerns: AI tools often involve complex legal and security considerations, such as data security, code ownership, and compliance with relevant regulations. Involve your legal and security teams early on to address these concerns and mitigate potential risks.

The Art of POC Preparation

Speedy Prep Time: To maintain momentum and avoid delays, aim to complete POC preparations within two weeks. This includes gathering requirements, setting up the focus group, and preparing questionnaires for evaluation.

Engage with Vendors: Do not hesitate to reach out to the vendors of the AI tools you are evaluating. Negotiate free licenses, schedule Q&A sessions to clarify any questions, and request access to any relevant documentation or training materials.

Involve Legal and Security Teams: Before proceeding with the POC, schedule meetings with your legal and security teams to discuss the tool and address any concerns they may have. Their input is invaluable in ensuring compliance and protecting your organization’s data.

The POC Adventure

Create a Friendly Competition: To foster collaboration and engagement among participants, consider dividing them into teams and tracking their progress. This can create a sense of healthy competition and encourage teams to provide more insightful feedback.

Risk Management: Implement measures to mitigate potential risks related to data security and privacy. This may include using anonymized data, limiting access to sensitive information, and establishing clear guidelines for data handling.

Kickoff Meeting: Hold a kickoff meeting to present the POC plan to stakeholders and participants. Distribute a well-crafted questionnaire that will help you gather valuable feedback on the tool’s performance, usability, and impact on productivity.

Execution Phase

Rapid Response Team: Have a dedicated team ready to address any issues that arise during the POC. This team should be equipped to handle technical problems, answer questions from participants, and escalate any major concerns to the appropriate stakeholders.

Regular Check-Ins: Regularly engage with participants to gather feedback and insights throughout the POC. This will help you identify any challenges or pain points early on and make necessary adjustments to the POC plan.

Questionnaire Countdown: To ensure timely feedback collection, set a clear deadline for participants to complete the questionnaire. Consider offering incentives or gamifying the process to encourage participation.

Post-POC: Extracting Insights

Simple Questions, Profound Insights: Ask straightforward questions to gather valuable feedback on the tool’s impact. For example, you could ask participants to rate the tool’s effectiveness in terms of development speed, code quality, and ease of use.

Strengths and Weaknesses: Identify the tool’s strengths and weaknesses to understand where it excels and where it needs improvement. This will help you make informed decisions about whether to adopt the tool and how to best integrate it into your software development processes.

Monitoring Suggestion Quality Over Time: Rating the quality of suggestions and their improvement over time provides another layer of insight. A chart depicting this aspect can show whether the tool is learning and evolving, an essential feature for any AI-powered tool.

PII in Suggestions: Assess whether the tool respects data privacy by handling PII (Personally Identifiable Information) appropriately. This is especially important for tools that generate code or provide suggestions based on sensitive data.

Continued Use: Gauge user interest in continuing to use the tool after the POC. This will give you an indication of the tool’s potential impact on your organization’s productivity and efficiency.

Implementation and Beyond

Dedicated AI Tool Team: To ensure successful implementation and ongoing optimization of AI tools, consider establishing a dedicated team. This team should be responsible for managing the tools, providing training and support to users, and monitoring their impact on software development processes.

Streamlined Training: Provide short, focused training videos or sessions to quickly onboard teams on the tool’s functionalities. This will help users get up to speed quickly and start realizing the benefits of the tool.

Stay Updated: The AI tool landscape is constantly evolving, with new features and developments emerging regularly. Stay informed of these updates and communicate them to your teams to ensure they are getting the most out of the tools.


The integration of AI tools in software development is an ongoing journey that requires continuous engagement, adaptability, and informed decision-making. By following these practical tips and insights, you can effectively evaluate AI tools and harness their potential to enhance your software development processes.

Remember, the goal is to leverage technology to amplify efficiency while safeguarding digital integrity. Embrace the AI revolution and shape a future where innovation and security go hand in hand.