AI Coding Agents: What They Can and Cannot Do in Real Projects
AI coding agents work inside repositories, run commands and complete project chores. Here is where they help and where human review stays essential.
Repository understanding comes first
The gap between a code completion tool and a coding agent is project awareness. An agent that reads structure before editing produces changes that fit the codebase instead of fighting it.
The chores worth delegating
These are the tasks teams hand over first.
- Documentation generation and upkeep.
- Dependency and configuration housekeeping.
- Repetitive refactors across many files.
- Build, test and script execution.
What still needs you
Architecture, security decisions and anything with business consequence. Review remains a human job.
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