Follow the thread
Build instructions around the task, evidence and desired response.
Prompt-engineering articles focus on explicit context and a stable definition of success. The collection connects structured responses with coding-assistant workflows, where repository context can be as important as the wording of an instruction. Choose an article based on whether you are designing model behavior or guiding a change to software.
Keep the instruction small enough that every part has a job. Separate the task from reference material, provide a bounded example when it clarifies the result, and specify what uncertainty should look like. Evaluate changes against the same cases so improvements in style do not hide a regression in the behavior you actually need.
2 articles tagged Prompt engineering
Use Cursor to develop inference integrations with focused files, durable project rules and testable tasks. Learn how adapter boundaries, realistic fixtures and human review turn generated changes into maintainable code. Finish with a clear implementation handoff.
7 min readConnect prompt design to an explicit output contract. Use schemas, unavailable states, source-reference checks, bounded corrections, and focused evaluation cases to turn generated text into records that an application can validate.
7 min read
TensorAPI.com
