Not all LLM-assisted coding is created equal. AI coding assistants often struggle with integration-level work like infrastructure that has to talk to cloud providers. It demands systems thinking, and a lot of the context is implicit. I use a simple heuristic to decide if AI will help: 1. Is the problem well-understood? (How many permutations exist?) 2. Can I express the context succinctly and explicitly? Or will gathering/specifying everything cost more than it saves? 3. Is the output easy to verify? How tight is the feedback loop? Infrastructure often fails this test: • Combinatorial explosion (provider, service, version, IAM, network shape). • Critical context is implicit—you discover it by probing. • Actions can take minutes, so mistakes are costly. This example is from software, but the heuristic applies in many domains.
When to use AI coding assistants: A heuristic for LLMs
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