Coding agents are being judged by interfaces, token cost, and repository evidence
The strongest May 4 work treats large language model (LLM) coding agents as engineering systems with bounded tools, explicit repository state, and measurable cost.
The strongest May 4 work treats large language model (LLM) coding agents as engineering systems with bounded tools, explicit repository state, and measurable cost.
Coding-agent teams can get concrete gains by moving terminal output, tool schemas, and repository evidence behind smaller, testable interfaces.