by Rindra Rolando, Software Engineer @ Henrie.ai

We’re living in a new era of software engineering. The old model, a team of developers writing every line of code manually, is rapidly evolving.
At Henrie.ai, we’ve embraced this transformation head-on. By integrating cutting-edge AI tools like LLMs, Codex, and Claude, we’ve redefined how we build, debug, and ship, not to replace engineers, but to enhance their capabilities and amplify their impact.

Here’s how we use AI every day to move fast, build smart, and raise the bar for quality.

Cursor: The Smart, Fast Everyday Companion

Let’s start with the IDE, the center of any engineer’s workflow. We use Cursor, an AI-native development environment built for speed and intelligence. It gives us direct access to some of the most powerful models available today: Claude 4 Sonnet, GPT-4o, Gemini 2.5 Pro, and more.

Cursor is fast and responsive for small to mid-sized tasks: refactoring, code generation, writing tests, or jumping into an unfamiliar file. It unblocks engineers quickly and keeps the momentum going.

But as efficient as it is, building large, clean features takes more, and that’s where Codex comes in.

Codex + GitHub: Building Big, Building Right

When it comes to deeper backend work, features that require structure, coordination, and thoroughness, we turn to Codex, which is connected directly to our GitHub repositories.

Codex doesn’t just autocomplete lines of code. It understands the project holistically. It navigates dependencies, anticipates edge cases, and respects the patterns we’ve set in our architecture. It performs like a senior teammate who knows the codebase inside and out.Whether it’s implementing robust backend systems or maintaining consistent UI patterns across complex web and mobile apps, Codex helps us design and deliver high-quality code faster, with fewer bugs and more confidence.

This is where AI truly becomes an enhancer. Codex helps us design and implement strong, scalable features in less time, with fewer bugs, and better consistency.

Claude CLI: Debugging, Reinvented

For debugging and codebase exploration, we rely on Claude CLI, a tool that’s become a core part of our engineering toolkit.

Claude can walk through the codebase, understand issues from logs or errors, and even run commands directly in context. Instead of manually piecing together a trail from scattered clues, we get immediate insights and recommendations, helping us not just fix problems, but understand them.

It turns what used to be hours of painful bug hunting into a focused, high-leverage process.

Engineers, Upgraded, Not Replaced

The big picture isn’t about AI taking over. It’s about AI extending what great engineers can do.

At Henrie.ai, our developers aren’t being replaced, they’re being elevated. With these tools in their stack, they’re no longer just writing code. They’re orchestrating workflows, architecting solutions, and delivering end-to-end impact with the speed and confidence of a much larger team.

We’ve seen firsthand how a small, sharp team using AI well can outperform teams five times the size.

This is the future of engineering, and it’s not theoretical. It’s happening right now, and it’s rapidly evolving.

What are we tinkering with right now? 

We’re currently evaluating a better integration with Claude, as it’s one of the best coding Llm out there, by building personas for each type of products we’re working on.

Henrie.ai (a product of https://tenafli.com/), is an Ai powered platform to democratize access to Financial Advising for Gen-Z and Millenials.

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