107Your prompts are enormous and repetitive. How do you compress context without losing accuracy?▼mediumAnthropicOpenAICursor◆ premiumMost teams reach for a token-dropping compressor and pay an accuracy tax for tokens they could have had for almost nothing. The ranking of levers matters more than any single technique, and the top of the list is not compression at all.Open full answer →
143Build a prompt template and versioning registry with variable substitution and rollback.▼easyOpenAIAnthropicDatabricks◆ premiumA prompt is code, but most teams edit it in a dashboard with no history and then cannot explain last Tuesday's quality drop. This is the small piece of infrastructure that makes prompts reviewable, pinnable, and instantly reversible.Open full answer →
66Design a prompt management platform so teams can version, test, and deploy prompts without redeploying code.▼mediumOpenAISierraSalesforce1 replies◆ premiumWhen prompts live inside source code, every wording tweak becomes a full deploy and nobody knows which prompt is running. The fix is to treat prompts as managed, versioned configuration. Here is the platform.Open full answer →
37A prompt tweak fixed one case and silently broke ten others. How do you regression-test an LLM app in CI?▼hardOpenAIAnthropicSierra2 replies◆ premiumEditing a prompt is a code change that ships without a compiler or a unit test by default, so quality regressions slip out invisibly. Treating prompts and models as testable artifacts is what divides a toy from a product. Here is the harness.Open full answer →