Question 1

Is Cursor agent mode safe on a real codebase?

Accepted Answer

Safe when scoped and gated — branch, tests, review before main. Unsafe when allowed to roam with full repo write access and 'just make it work' prompts.

Question 2

What's the most common integration bug?

Accepted Answer

Missing idempotency — a retry that duplicates a charge, an order, or a webhook fire. Guard the side effect, not just the request.

Question 3

When should a business start automating?

Accepted Answer

When the same deterministic loop happens weekly and someone can sketch the steps on paper. Start there — one workflow, one month.

Question 4

Is Lovable a professional-grade production tool?

Accepted Answer

For MVPs and internal tools, comfortably. For security- or compliance-heavy production, plan real engineering — treat Lovable as the accelerator, not the foundation.

Question 5

Is voice coding faster than typing?

Accepted Answer

For long prose and surgical edits, often yes; for dense code entry, typically no. Treat it as a complement — the edit loop is where it compounds.

Question 6

Which no-code platform should I pick?

Accepted Answer

Start with n8n for logic-heavy workflows that need editing access, and add a database/spreadsheet layer your team already touches (Sheets or Notion).

Question 7

How accurate is modern document extraction?

Accepted Answer

Very high for typed invoices and forms with validation, lower for handwriting and scans. The pipeline's validation layer is where you protect that accuracy.

Question 8

Should every prompt be versioned?

Accepted Answer

Every prompt that produces customer-facing or decision-driving output. Throwaway exploration can stay chatty; production prompts cannot.

Question 9

Can AI replace manual testing?

Accepted Answer

It accelerates automated coverage, but product judgement — should this fail? is this the right behaviour? — stays human. AI widens the net; you still define the catch.

Question 10

What's the biggest AI API cost leak?

Accepted Answer

Repetitive identical calls and forgotten mega-prompts — both invisible in dashboards until the invoice arrives. Cache and count tokens against each endpoint.

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