Full autonomy in software development is AI systems that write, test, and deploy software on their own. In contrast to co-pilots, fully autonomous AI needs minimal human intervention. Theoretically, it would be able to handle complete development cycles, including requirement analysis and deployment.

But complete autonomy is not without restrictions:

• Complex business logic: AI can misunderstand subtle requirements.
• Security and compliance: The consequences of errors in critical systems can be devastating.
• Lack of flexibility: Fully autonomous AI is not good at unforeseen or new situations.

Although full autonomy is effective in repetitive or low-risk coding, mission-critical enterprise applications still need human direction. As an example, an autonomous AI might produce template code to web applications, but developers would have to check security, performance, and business logic before deployment.