Topic

AI Coding

How coding agents alter the tools, practices and responsibilities involved in making software.

Ideas in AI Coding

Coding agents shift a developer’s attention from writing every line towards architecture, testing and review.

Every coding model brings its own mix of literalness, initiative, caution and recurring habits to a coding session.

Coding agents let operators turn their knowledge of workflows, exceptions and commercial pressures into working software.

Tests, specifications and human review determine how long a coding agent can keep producing useful software on its own.

Working software exposes missing permissions, awkward screens and workflow exceptions that an initial specification rarely captures.

Rapid implementation lets an early choice about data, queues or background workers spread across a codebase within weeks.

A coding harness controls which files an agent can inspect, which commands it can run and which results return to the model.