Frontend, Mobile & Backend Engineer
React • Vue • PHP • React Native • TypeScript
Building production apps | Open to freelance React/Next.js/RN gigs | Nigeriaemann-portfolio.vercel.app NigeriaJoined October 2025
@frontend__fairy I use in-terminal coding agents like Gemini CLI and Claude.
I use my cli for tasks like debugging and code reviews, especially my backend and then Claude for generating code codes and code reviews
I appreciate that.
What's been interesting for me is that I didn't start from an AI research angle.
I started from a developer workflow frustration:
"Why am I repeatedly reconstructing understanding that already existed?"
That question keeps leading me further away from context windows and closer to continuity.
Unpopular opinion:
The biggest bottleneck in AI-assisted coding isn't the model.
It's rebuilding context.
The code is still there.
The project is still there.
But the understanding disappears every time you start a new chat, switch tools, or come back after a few days.
That's hours of productivity lost every week.
@Memexstate That distinction is interesting.
Context tells us what disappeared.
Continuity tells us what it costs when it disappears.
The more I think about it, the more the expensive part seems to be reconstructing reasoning rather than reconstructing information.
If you’re into:
• Coding / Development
• AI tools (Cursor, Claude, etc.)
• Startups & building in public
• React, Next.js, React Native
• Product & Design
Say hi 👋 and tell me what you’re working on right now. Let’s fill each other’s timelines with good stuff.
X is cool.
But it hits different when your timeline is packed with actual builders, people shipping code, wrestling with AI tools, and launching products.
AI can spit out 500 lines of code in seconds. Yet I still waste 15–20 minutes explaining the same project context every time I reopen the chat. Feels backwards.
@buildwithparas Exactly.
I've noticed people keep one chat alive for weeks because restarting means rebuilding the entire project's understanding from scratch.
@Memexstate "The thing that disappears is the understanding."
That line stood out to me.
I've been framing it as a context problem, but continuity might actually describe it better.
The code and files usually survive.
The reasoning behind them often doesn't.
Spent 20 minutes explaining a project to an AI.
Got great results.
Closed the chat.
Came back later.
Spent another 20 minutes explaining the same project again.
At this point I'm starting to think I'm the memory layer between AI tools.
Anyone else?
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