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perspectivesplatform · · 2 min read

AI software delivery: connecting requirements to shipped code

How Circuit connects requirements, design decisions, code, and tests so delivery teams can assess change and retain product knowledge.

by current

Updated

The expensive part of a software change often comes before the code. A client adds legal entities, changes an approval rule, or introduces a new account type. The team then has to find every requirement, configuration, integration, and test affected by that decision.

Circuit is Current's AI-assisted delivery platform. It connects those artifacts so a team can investigate change with a record of the product in front of it, rather than relying on whoever remembers the last workshop.

What requirements traceability makes possible

Requirements traceability means connecting a business need to the decisions, implementation, and checks that satisfy it. A ticket marked complete tells you that work finished. A traced requirement helps explain whether the right work finished and how it was verified.

Consider a hypothetical change to an approval threshold. The useful chain includes the business policy, the workflow design, the configuration or code that enforces it, the tests around the boundary, and the client-facing explanation. If the threshold changes, the team can follow those links to identify what needs review.

The links do not prove that every dependency has been captured. Engineers still need to examine the result, especially where undocumented behavior or external systems are involved.

Why Circuit uses a connected graph

Documents remain valuable, but isolated documents drift. A design can describe an old rule while the implementation has moved on. Circuit links requirements, designs, work, and deliverables so discrepancies are easier to find.

The practical benefit is change impact analysis: what might this decision affect, which evidence supports the current behavior, and who needs to review the update? That is useful during delivery and after the original team leaves.

Where AI engines fit in delivery

Circuit's Code Engine works on implementation tasks. Its Browser Engine supports configuration and validation in systems reached through a browser. Its Training Engine proposes improvements to delivery playbooks for review.

Our engineers direct the work and review the outputs. Generated tests still need scrutiny: a test can pass while checking the wrong requirement. Acceptance criteria, integration behavior, and failure cases remain engineering responsibilities.

Backstage brings the delivery team's work together. Portal gives the client a view of progress and deliverables linked to requirements.

Define the handover before the project starts

A useful handover includes the requirements, decisions, known limitations, operating guidance, and evidence behind the release. Agree on access, exports, documentation, and ongoing platform support in the engagement scope.

The aim is to leave the next team with a product it can understand and change. That is particularly valuable during legacy platform modernization, where knowledge of the old system can be as important as the new code.

Explore Circuit to see how we connect discovery, delivery, and the knowledge that stays with the product.

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