Google says DevFest 2026 is back with more than 800 events focused on building, securing and scaling in the agentic era. For developers, the important signal is that agent workflows are moving from demos into normal engineering concerns such as testing, security, observability and team practices.
The developer workflow is changing
Agentic development adds another layer between an engineer and the final software change. Instead of only asking a model for code, teams increasingly give agents tools, repositories and test environments. That makes the surrounding engineering system just as important as the model.
Five areas to strengthen
- Testing: require repeatable tests before merge.
- Security: restrict credentials and external access.
- Observability: log important agent actions and failures.
- Review: keep human ownership of high-impact changes.
- Rollback: make reversal easy when an agent makes a bad change.
Why agentic coding needs better review
AI can increase code output faster than a team can review it. The right metric is not lines generated. It is how quickly a team can understand, test and safely accept the resulting change.
A practical scorecard
| Area | Question |
|---|---|
| Quality | Does the code pass automated and human review? |
| Security | Can the agent access secrets it does not need? |
| Traceability | Can the team reconstruct important actions? |
| Recovery | Can an unsafe change be rolled back quickly? |
What this means for SEO developers
SEO teams using coding agents should apply the same controls to scripts, templates, redirects and structured data. Keep production credentials away from development agents and review changes before they reach the live site.
Related ToolBoxKart guides
For coding agents, read the coding assistant comparison. For agent evaluation, see the independent evaluation workflow. For audit logs, read what AI agent audit logs should record. For approvals, see the AI agent approval policy.
Frequently asked questions
Is DevFest only about Google products?
DevFest is a Google developer community event series, but its agentic-development lessons apply more broadly.
Should agents deploy code automatically?
Only when the workflow has strong tests, limited permissions, monitoring and a clear rollback path.