The next challenge in software development will be ensuring the verification of code generated by AI, as simply improving code writing won't significantly speed up engineering processes.

Coding agents are exciting because they are verifiable. You can write tests for code, and the tests will indicate whether the code is functioning correctly, which is not possible in many other fields.

Coding agents are not perfect yet, but they are improving rapidly, and their adoption will have significant consequences for software engineering and knowledge work in general.

The bottleneck for AI development may shift from generating solutions to verifying their accuracy and reliability.

As programming evolves, the need for manual coding will decrease, with more emphasis on managing agents that handle coding tasks.

The future of coding agents will involve the ability to request features and receive completed code, which will revolutionize how software is developed.

The ease of verification in vibe coding comes from the ability to interact directly with the software, making it challenging to apply this approach to large production codebases.

As coding agents improve, they highlight inefficiencies in product organizations, making alignment meetings more critical and time-consuming.

Coding will be central to the future of OpenAI, enabling models to create custom programs and interact with the world.