Fospe |  Digital Transformation & Artificial Intelligence

Effective Software Development: 7 Ways To Get More From ChatGPT & Copilot

The apprehension surrounding artificial intelligence replacing human jobs is exaggerated. A more probable scenario is that tools like ChatGPT will enhance our productivity. A recent study from MIT supports this, demonstrating that when white-collar workers utilized an assistive chatbot, they completed tasks 40% faster, with an 18% improvement in work quality.

At DLabs.AI, we view tools like ChatGPT as aids to expedite tasks such as survey question generation, tool selection, and code generation. We employ ChatGPT regularly and share our insights to encourage others to do the same.

Ready for inspiration? Let’s dive in!

8 Software Developer Tasks Optimized for ChatGPT

While ChatGPT is versatile, it excels at eight specific tasks that are repetitive and time-consuming:

1. Writing tests

2. Generating code structure

3. Correcting executed code

4. Troubleshooting errors

5. Translating issues

6. Providing potential solution sources

7. Assisting with testing and suggesting edge cases

8. Clarifying problems with provided context

It’s important to note that GPT-4 is adept at understanding context, making it preferable for these tasks. However, for software development, consider using a different app altogether, like Copilot.

When to Utilize Copilot

ChatGPT isn’t the sole large language model tool available, and it isn’t always the best fit for every task. Copilot, for instance, is particularly effective for writing computer code. It excels at repetitive commands, structuring functions, and enhancing code with supplementary information. Additionally, it can generate appropriate code based solely on a method or provided instructions.

The effectiveness of tools like Copilot is evident in platforms like Stack Overflow, where its usage has impacted traffic significantly. Copilot streamlines coding tasks, providing solutions and iterating until a viable outcome is achieved, akin to an ‘auto-complete on steroids.’

Drawbacks of ChatGPT and Copilot

While ChatGPT and Copilot are invaluable tools, they have limitations:


– Occasionally expresses itself in peculiar ways

– May produce errors, known as ‘hallucinations’

– Relies on data up to 2022


– Challenges in distinguishing AI-generated code from developer-written code

– Limited options for accepting or rejecting code suggestions

Maximizing the Potential of Tools like ChatGPT

To leverage these tools effectively, consider the following:

1. Familiarize yourself with the documentation

2. Craft specific prompts

3. Provide context for clearer responses

4. Avoid sharing sensitive information

5. Utilize the tool for learning opportunities

6. Automate repetitive tasks

7. Generate unit tests efficiently

Embrace Large Language Models

Large language models like ChatGPT and Copilot can revolutionize workflow efficiency for software developers. Embrace these tools to enhance productivity, foster innovation, and unleash your creative potential. As AI continues to evolve, staying adaptable and open to integrating new tools is key to thriving in the digital landscape.