
API Quota Management: Control Usage & Costs
Learn API quota management to control request limits, prevent cost overruns, and ensure fair resource allocation across your API infrastructure.
Technical writing on AI coding agents, context engineering, and developer productivity.

Learn API quota management to control request limits, prevent cost overruns, and ensure fair resource allocation across your API infrastructure.

When Cursor gives wrong suggestions, it's not the model — it's missing context. A dependency graph gives the AI structural understanding of your code.

Cursor gets sluggish on large codebases because its indexing and context loading can't scale. External context engines solve this by pre-computing relevance.

Cursor rules (.cursorrules) shape how AI understands your project. Write effective rules that improve code quality without bloating the context window.

Cursor's Agent Mode lets AI make autonomous code changes across files. Master it with the right setup, context management, and guardrails.

Cursor's context window can't hold your entire codebase. The fix isn't a bigger window — it's smarter context selection via dependency graphs.

Cursor charges for premium requests that consume tokens. Reduce what the AI needs to process and you'll stretch every request further.

Startups need speed and budget control. The ideal AI coding stack combines a free/cheap agent with context optimization — here's how to set it up.

Subscription price isn't the real cost. Token consumption, rate limits, and context waste determine what you actually spend. Here's the true cost ranking.