Can AI Agents Code? Here’s What They Can (and Can’t) Do in Software Development
AI agents are starting to take on real development tasks—from writing code to submitting pull requests. But how far can they really go? Here's a look at what’s possible today.
Can AI Agents Code? Here’s What They Can (and Can’t) Do in Software Development
There’s been a lot of buzz about AI replacing developers—but the reality is more nuanced. While AI agents are getting smarter and more capable, they’re not here to take over your job. Instead, they’re here to help you code faster, cleaner, and with less stress.
In 2025, AI agents are playing a real role in software development—writing snippets, fixing bugs, suggesting improvements, and even creating pull requests. So, what can they actually do?
What AI Agents Can Do
1. Write Code Based on Natural Language
You can describe what you want—like “a function that sorts users by last login date”—and the agent will generate it for you. This is great for prototyping or getting over writer’s block.
2. Fix Bugs
AI agents can review logs, suggest changes, and point out errors in your code. Many developers are already using them to resolve common bugs or explain confusing stack traces.
3. Write and Run Tests
Testing can be tedious. AI agents can help by writing unit tests for your functions or generating test coverage reports. This helps catch issues earlier and ensures better reliability.
4. Review and Submit Pull Requests
Some advanced agents can automate the process of cleaning up code, writing pull request descriptions, and submitting PRs to GitHub or GitLab. This is especially useful for repetitive or low-risk changes.
5. Document Code Automatically
Need to generate docstrings or update READMEs? AI agents can scan your codebase and write documentation that actually makes sense—without you having to stop coding.
What AI Agents Can’t Do (Yet)
- Make architectural decisions: They can help brainstorm ideas, but big-picture system design still requires human judgment.
- Understand full project context: Agents are great with local files or well-defined tasks, but they still struggle with understanding the full business logic of a complex app.
- Replace collaboration: Good development still relies on teamwork, creativity, and communication. AI can support this—but not replace it.
The Real Value: Speed + Support
Think of AI agents as teammates who can handle the boilerplate and grunt work. They help you move faster, avoid mistakes, and spend more time on the fun, strategic parts of development.
And with tools like aiagent-builder.com, it’s easier than ever to create your own custom coding agents that work alongside your toolchain.
Final Thoughts
Yes, AI agents can code—but they’re not here to replace developers. They’re here to make us more productive, reduce burnout, and bring a little magic to our workflow.
Want to build your own AI coding assistant? Try it out at aiagent-builder.com.