Topic Hub
AI Agents and Review
Practical judgment for assigning work to AI, constraining agent action, coordinating multiple roles, reviewing generated output, and keeping accountability human.
An assistant suggests. An agent can act. That shift makes task selection, permissions, evidence, stopping rules, and review part of the system design. This hub connects the engineering and governance questions that appear when AI moves from generating text to changing real work.
Topic orientation
Autonomy increases the value of boundaries and review.
Agent capability is not the same as agent suitability. The right question is not only whether an agent can perform a task, but whether the task is bounded, observable, reversible, and reviewable.
The work here asks how to allocate tasks, separate roles, expose evidence, scale scrutiny with risk, and preserve a clear human owner for consequential decisions.
Where to start
Choose the work, design the review, then grant action.
This path moves from task suitability to review discipline and finally to an explicit risk check before autonomy.
- Task allocation
Not All Engineering Tasks Belong to AI
Separate structured, verifiable execution from work that depends on ambiguity, trade-offs, and accountability.
- Review
Why Reviewing AI-Generated Work Is a Different Skill
Learn why plausible presentation makes hidden assumptions and missing context harder to spot.
- Risk
The Agent Risk Register: What to Check Before Letting AI Act
Use a practical pre-action model for scope, permissions, reversibility, evidence, and human ownership.
Explore by subtopic
Move from one bounded task to a governed agent system.
Constraints and accountability
Define what an agent may do, how it stops, and who remains responsible.
Multi-agent coordination
Separate responsibilities so architecture, implementation, testing, and review do not collapse into self-approval.
Review gates and orchestration
Build evidence and independent challenge into the workflow as generation becomes cheaper.
Systems and evidence
Inspect the workflow and its review surfaces.
These systems make roles, evidence, review points, and human decisions visible.
Topic hub and series
This hub goes deeper on agents; the series explains the wider engineering progression.
The AI-Assisted Software Engineering series is an ordered path from mindset and context through review, agents, and orchestration. This hub groups agent, review, risk, and governance material by the decision a reader needs to make.