Launched this week
Enia Code
Proactive AI that refines code & learns your standards
653 followers
Proactive AI that refines code & learns your standards
653 followers
Most AI coding tools wait for you to ask. Enia Code doesn’t. Enia is a proactive AI coding agent that detects bugs, performance issues, architectural inconsistencies, and refactoring opportunities — as you write code. No prompting. No context re-explaining. No workflow disruption.
Enia Code
@rustam_khasanov We use a proprietary hybrid architecture that automatically selects the model with the highest compatibility and best performance for each specific scenario, so manual model switching is currently not supported.
Enia Code
@mordrag Thanks for the kind words!
For us a big part has been sharing the project early with the developer community and learning from their feedback. Launching on Product Hunt is also part of that — getting the product in front of people who are curious to try new dev tools.
Good luck with your SaaS launch as well, and would love to hear what you're building!
Most AI coding tools are reactive. This feels more like an observer system that monitors the project evolution. That's a pretty interesting design direction.
Enia Code
@ibitekukie Thanks for sharing this perspective!
One of the most frustrating parts of development is realizing that a design decision made weeks ago is causing problems today. If Enia can help detect those early signals, that alone could save a lot of time.
Enia Code
@new_user___0662025372dd0980d5d9d93 Exactly. That's what we want to do.
I just checked the pricing and I got shocked because it offers so few requests. Maybe I don’t know how it works, but it seems you need to think very well about what you want to achieve and type it, because if not, you will run out fast.
Enia Code
@pierruno Don't worry—Enia’s billing differs from traditional Token-based models。 For example，a single chat interaction consistently consumes only 1 Request, regardless complexity. This ensures your requests won't vanish unexpectedly and lets you focus on coding rather than counting words.
The "proactive" positioning is what caught my attention. Most AI coding assistants wait for you to ask — which is fine for exploration, but doesn't scale when you're shipping under deadline. The "detects bugs and architectural issues as you write" claim is interesting. Two questions: 1. **How does Enia handle conflicting suggestions?** If I'm working on a prototype vs. production code, the standards are different. Does it learn context-aware thresholds? 2. **Team standards learning** — how long before Enia understands our codebase patterns? We're a small team with some unconventional architectural choices (multi-tenant customization engine). Would love to know if it adapts or forces conformity. Also curious: Does it work with monorepos? We have a shared utils package across multiple services.
Happycapy
Something I’ve noticed with AI coding tools is that they help you write code faster, but they don’t necessarily help you write better systems. The proactive idea here is interesting because it shifts the focus from generation to guidance. Would love to understand what kind of signals Enia prioritizes first.
Enia Code
@zhanjinfenggg Thanks, Jeffrey, interesting observation uhh. The shift from generation to guidance is exactly what we’re exploring. Would love to hear what signals you think matter most in practice.