Everyone’s adopting AI agents for the SDLC. But without control, trust disappears fast.

Engineering leaders are navigating a high-stakes shift:
? AI tools promise faster development
? But they often bypass your standards
? Developers don’t trust the output
? And code quality, security, and governance suffer

According to Google’s 2025 DORA report, software delivery performance declines as AI usage increases—unless teams have the right controls and oversight in place.

This Tabnine Office Hours will focus on the core challenge:
How do you scale AI without sacrificing trust, control, or code quality?

We’ll explore:
– What makes an AI agent truly enterprise-grade
– How to implement guardrails that support quality, security, and governance
– How leaders at GE Healthcare, AstraZeneca, and Safran scale AI adoption—without scaling risk

You’ll learn how Tabnine powers:
• AI agents that adapt to your codebase, architecture, and review processes
• Policy-aligned AI that enforces your definition of “done”
• Faster delivery, fewer rollbacks, and tighter governance

????? April 9, 2025 at 10:30am PT
????? Live Q&A with the Tabnine team
???? Register now to reserve your seat: https://lnkd.in/dxkVf_eU

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