The Hidden Problem With Agentic Coding No One Is Talking About @TwilioDevs
The Hidden Problem With Agentic Coding No One Is Talking About  @TwilioDevs
Uploaded June 2026 | Updated September 2026, 37 minutes ago
Agentic coding tools have made writing code faster but they haven't touched the 80% that actually slows teams down: bug fixing, testing, PR review, and context documentation.

Twilio Champion David Poindexter breaks down why AI coding assistants are creating a growing backlog of large, context-free pull requests, and why, without proper guardrails, they'll default to writing Python even on your Ruby project.

Q: Why does AI default to Python?
Because most AI coding models were trained heavily on Python — written by data scientists who knew Python. Without language-specific guardrails, it drifts.

Q: What's the fix?
Train your AI assistant with explicit skill sets and guardrails tied to your actual stack and project conventions.

If you're using agentic coding tools like Claude Code, Codex, Cursor, or GitHub Copilot on your team, this one's worth 60 seconds of your time.

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The Hidden Problem With Agentic Coding No One Is Talking About

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