Leading in the agentic era: How to put people first as you adopt AI agents
cloud.google.com·14h ago
Cloud & Infrastructure
The New Stack·Jul 13·5 min read
Where AI saves me time and where it slows me down
TL;DR
AI has significantly accelerated my workflow, enhancing my ability to learn and tackle engineering challenges. It has transformed how I initiate projects, gather context, and write code.
✦ Why It Matters
Evaluate the specific AI tools you use and identify areas where they may hinder rather than help your workflow.
Key Takeaways
- Utilize AI to gather context quickly before starting work.
- Focus on verifying AI-generated code to ensure it meets project standards.
- Manage work in progress to avoid overwhelming review processes.
- Leverage AI to explore new areas of engineering with confidence.
How It Works
AI tools like Webflow's MCP connect to existing workflows, allowing engineers to quickly synthesize information from various sources, reducing the time spent on context hunting.
⚠ The Catch
AI-generated solutions require careful review to ensure they fit the existing architecture and meet project constraints, which can create additional workload.