← Back to selected work

Applied AI · Public explainer

From engineering intent to agent-assisted execution

A conceptual workflow for turning a software task into bounded, validated agent-assisted work using tools such as Kiro and Kiro CLI.

01 / The problem

Challenge

Agents are useful when they receive enough context, operate within a bounded task, and produce output that a human can verify.

02 / System view

Architecture at a glance

A simplified, public-safe model. Select a layer to inspect its responsibility.

Selected layer

Task intake

Define what done means and what is out of scope.

03 / Engineering decisions

Approach

  • Gather context and turn intent into an explicit plan.
  • Execute in small, inspectable steps with tools and repository feedback.
  • Validate the result before human acceptance.

04 / Tools & skills

What I used

Tools

KiroKiro CLIRepository tools

Skills

Task decompositionContext gatheringValidation

05 / Evidence

Outcomes

  • A reusable public model for agent-assisted development.

06 / Reflection

What I learned

01

Agent output improves when intent becomes explicit and inspectable.

02

Human review is a design constraint, not a final afterthought.