u/WeWinBro

been trying Cursor, Claude Code, Augment, Codex, GrapeRoot etc a lot recently and lowkey feels like prompts are becoming less important than context itself

like a year ago everyone was obsessed with:

“prompt engineering”

but now honestly the bigger difference feels like:

- does the tool actually understand the repo
- does it remember architecture decisions
- does it keep rereading same files again n again
- can it stay coherent for long sessions
- how good is the retrieval/context pipeline

crazy part is same model can feel insanely different across tools

Cursor feels fastest/smoothest for flow, Claude Code feels raw but very agentic, Augment feels really strong on big codebase understanding and GrapeRoot’s local-first persistent context approach is also kinda interesting because it takes a totally different approach to the "AI forgot my repo again" issue than traditional RAG techniques

more i use these tools more it feels like industry is slowly shifting from

prompt engineering to context engineering

idk maybe im overthinking this but context quality really does feel like the actual moat now

curious what others think though

I was using $100 claude code and was searching to save these tool and found graphify relevant as claimed but it didn’t worked for me, is this graperoot same or something different?

I built this project expense tracker, i build using claude code as a side project but i feel like it was good to work on this full time but when i used claude code again to refine and make it better, i exhaust my 5 hr limit in 1 hr only. Any idea how to solve this issue or claude is just useless?

I was using these visual graph startup/code agent tools recently where you can connect flows, agents, APIs etc without writing too much code.

Just wanted to ask has anyone actually got real benefit from these tools in startup work? Like saving engineering time, getting customers faster, automating ops, MVP building etc.