FAQs

If it’s a hackathon prototype that dies in 48 hours, skip it. Speed is the only metric there. Also, for simple marketing landing pages with zero logic? Overkill. Stick to vanilla JS.

Don’t discuss "code quality." Rather, focus on Risk. Tell them: "TypeScript prevents the kind of runtime crash that took down the checkout page last month." Frame it as an insurance policy, not a developer tool.

Using any is lying to the compiler. It silences the red squiggly line, but it keeps the bug. You are effectively turning TypeScript off for that variable. If you truly don't know the shape yet, use unknown. It forces you to check it safely.

It’s never too late, but do not rewrite. We see teams try the "Big Bang" rewrite and fail every time. Instead, set allowJs: true in your config. New features get TS; old files stay JS. Migrate organically, one file at a time.

Typing speed? Yes. Shipping speed? No. You spend 10% more time writing interfaces, but 50% less time chasing undefined errors in the console. You pay the tax upfront to avoid the audit later.

The ROI timeline for AI agent implementation depends on the scale at which you are automating tasks. If you are integrating multiple AI agents within different workflows and connecting them with each other, the ROI timeline might be long. But if you’re only automating a specific loop, you might see ROI much faster.

They will. That’s why you use "Human-in-the-Loop." At first, the agent just drafts the email or the code. You approve it. Once the model proves it is reliable (high confidence score), you let it execute the low-risk tasks autonomously. You build guardrails so it can't offer a 90% discount or delete the production database.

APIs. The agent plugs into your ERP, your CRM, and your Slack. It needs permissions, just like a new employee. You give it a role (Read/Write access), and you audit its logs. It doesn't "magically" know things; it accesses them through secure channels.

They replace tasks, not people. In healthcare, they replace the paperwork so doctors can actually see patients. In sales, they replace manually screening leads so reps can close deals. It’s augmentation, not replacement. It removes the "drudgery" from the job description.

A chatbot follows a script (IF user says X, THEN say Y). An agent follows a goal (GOAL: Book a meeting). Chatbots are reactive (they wait for input). Agents are proactive (they execute tasks via tools and APIs). The agent has "agency" to determine the path to the solution.