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Enia Code
Proactive AI that refines code & learns your standards
633 followers
Proactive AI that refines code & learns your standards
633 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.







Gro
Would love to see some examples of issues Enia caught proactively. Real-world scenarios would help illustrate the value.
Enia Code
@leo_aj Thanks Leo! That’s a great suggestion — we’re actually putting together a few real-world examples and will share them soon. Appreciate the feedback.
Mom Clock
Looks sweet!
I wonder how proactive it will be, especially when I am working on a large project.
Enia Code
@justin2025 Thanks Justin! Great question, especially for larger projects where issues tend to surface much later.
When you’re coding, Enia can surface potential risks directly in the IDE as small prompt bars.
It analyzes the current context and flags patterns that might become problematic as the project grows. And it’s not intrusive — you can choose to review the suggestion, ignore it, or adjust the code based on the feedback.
Absolutely needed Jessica! Does it work through my IDE or connecting my repo? Anyway it's super useful and a truly time/energy-saver. Wish you all the best here!
Enia Code
@german_merlo1 Hello Merlo, just through IDE is OK. Glad to hear it helps!
Really interesting “proactive AI” angle. How does Enia learn team coding standards over time without introducing style drift across repos?
Enia Code
@hanxl Hey, LBan. We look at patterns within the current repository and its surrounding context rather than enforcing a global style. Our goal is to align with how a team already structures their code while surfacing potential structural signals.
Ada.im
This reminds me a bit of static analysis tools, but with AI reasoning layered on top. Traditional linters catch syntax or style issues, but they don't really help with deeper design problems. Interested to know what types of problems Enia is best at detecting.
Enia Code
@s_cen Instead of waiting for prompts, we looks at the evolving code context and structural patterns in the project. When it detects signals that might indicate potential issues or architectural risks, it surfaces suggestions while you're coding.
AdFox (formerly GoodsFox)
The plugin approach is smart. One challenge with new dev tools is adoption friction. If it integrates directly into existing IDE workflows, that's a big plus.
Enia Code
@janicelewis00 Great point, Janice. Adoption friction is definitely one of the hardest parts for dev tools.
That’s exactly why we focused on integrating directly into existing IDE workflows so developers can use it without changing how they already work. In practice we’ve noticed that even small workflow disruptions can make people abandon a tool, no matter how useful it is.
The idea is to keep everything lightweight and contextual — surfacing signals while you’re coding, rather than requiring a separate tool or process.
I’ve noticed that many AI coding tools are great for generating snippets, but they struggle with larger architectural thinking. If Enia focuses on structure and patterns instead of just generation, that could be a meaningful shift.
Enia Code
@leon_lorn Hi, Leon. That shift from generation to structure is exactly what we’re exploring.