Some people will tell you agents will take all our jobs. Others insist they are useless. Leadership at many companies The post What ClickHouse learned from a year of coding with AI agents appeared first on The New Stack .
The proliferation of AI models makes autonomous agents increasingly feasible, leading companies like ClickHouse to experiment with their integration into core software development.
The practical application and observed impact of AI agents on complex tasks like coding provide concrete data points for assessing their transformative potential and limitations.
The debate around AI agents shifts from theoretical possibilities to empirical evidence of their performance and integration challenges within real-world engineering workflows.
- · AI agent developers
- · Companies adopting AI agents for efficiency
- · Software developers leveraging agents for augmentation
- · Companies slow to adopt AI agent tools
- · Traditional software development consultancies
Increased efficiency in specific software development tasks, such as code generation and debugging.
Reshaping of software engineering roles, with greater emphasis on agent orchestration and oversight rather than granular coding.
Potential for an acceleration in the overall pace of software innovation, driven by more autonomous development cycles.
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