How Context Engineering Cuts Unplanned Rework

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In this AIBytes issue, Dheeraj Gambhir explains why unplanned rework isn’t a testing or tooling failure but a symptom of misaligned system understanding. You’ll see how formalizing system context, such as business rules, edge cases, and expected behavior, into a governed, shared asset reduces ambiguity, accelerates delivery, and improves quality across teams.

Download the article to learn:

  • Why rework remains a drag on engineering capacity and predictability

  • How fragmented system context undermines automation and QA

  • What context engineering really means and how it differs from prompt engineering

  • How governing system intent upstream reduces defects and delivery surprises

  • What leadership shifts QA and engineering teams need to make now

Don’t let unclear system understanding slow your delivery. Learn how Context Engineering creates alignment, reduces rework, and drives predictable outcomes.

Get the full article now.