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Product engineering · REVIEWED 4 SEPTEMBER 2026

AI stack for software teams

Research unfamiliar systems, work inside the codebase, prototype interfaces and keep review and testing in the loop.

4 reviewed products2 lean starting set
OPERATING PLAYBOOK

One workflow, four accountable stages.

01CU
Code AI

Cursor

Clarify the problem and source technical facts.

Why it is here
A premium coding shelf pick for teams that want AI inside the codebase rather than a detached chat window.
Access
Free tier
02GH
Code AI

GitHub Copilot

Implement with repository context.

Why it is here
A safe mainstream pick for developer teams wanting broad IDE support and familiar procurement.
Access
Trial may apply
03RE
Code AI

Replit

Prototype isolated ideas quickly.

Why it is here
A remarkably direct idea-to-live-app workflow for prototypes, with engineering review still required before production use.
Access
Free starter with daily Agent credits
04PE
Research AI

Perplexity

Review, test and document every material change.

Why it is here
One of the quickest ways to move from a broad question to a source trail, provided the buyer still opens and checks the cited material.
Access
Free tier
BEFORE ROLLOUT

Three checks that protect the workflow.

  1. 01Never merge generated code without tests.
  2. 02Check licences and dependency provenance.
  3. 03Measure accepted code and correction time.
YOUR NEXT MOVE

Test the first two tools head-to-head.

Use the same source material, quality bar and seven-day window. Record approval rate, correction time and total cost.

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