Jul 22, 2026 · 17:49 IST
Developers are trading tricks to stop Anthropic's Claude from answering simple questions with piles of unrequested code. The common gripe is that Claude is strong at coding but too eager with it, often shipping a full implementation even when someone asks something basic like "How does this algorithm work?" The fixes making the rounds are small and blunt, such as typing "nc: no code, just answer," keeping a custom prompt file that tells the model to explain first, or ending a request with "hmmm" to nudge it toward a plain reply.
The frustration is not that Claude codes badly. It is that it codes too much. Ask a conceptual question and it may return hundreds or thousands of lines nobody asked for, spending output and usage limits along the way. For people who wanted a two-sentence explanation, that is a bad trade. The tone around the complaint has stayed light. Plenty of developers admit the frustration is half the fun, and some concede they secretly like getting the code dumped on them anyway.
Most of the shared fixes are shorthand meant to set expectations before Claude runs off. The most common is a simple prefix, "nc: no code, just answer," sometimes saved as a keyboard shortcut. Others keep custom prompt files that instruct the model to explain concepts first and write code only when explicitly asked. A lighter trick is tacking "hmmm" onto the end of a question, which some find is enough to get a plain answer instead of an implementation.
Claude Code began as Anthropic's internal agentic coding tool, built to take a task and carry it through to working code. That default leans toward action, which is what makes it useful for real engineering work and also what makes it overshoot on a quick question. Anthropic has published guidance on getting more predictable results, including clearer prompting and settings that rein in how much the model does on its own.
This piece reflects a developer conversation that is still active, so specific tricks and their popularity will keep shifting. The workarounds above are community habits rather than official features, and results vary depending on how a request is phrased.
