Viewing profile — das-bikash-dev
das-bikash-dev
HN member- Joined
- Sat, Feb 21, 2026, 1:36 PM UTC
- HN karma
- 3
- Public activity
- 9 items
- HN profile
- View on Hacker News ↗
About das-bikash-dev
Recent public activity
-
comment
Comment #47165336
the worktree isolation per agent is clever. i've been running claude code as my sole dev partner on a production platform (10 repos) and the biggest unlock was treating context as …
-
comment
Comment #47165122
the DAG decomposition approach is interesting — curious how it handles goals that span multiple services/repos. i build a multi-service platform solo with claude code and the harde…
-
comment
Comment #47164365
the context isolation approach is smart — cascading drift between agents is a real problem. i run 10 microservices with claude code and solved a similar issue by maintaining curate…
-
comment
Comment #47141419
Interesting to see the evolution mapped out like this. For those building on top of these models (RAG systems, agent frameworks), the real inflection point wasn't just model count …
-
comment
Comment #47141404
How does Emdash handle state management when running multiple agents on the same codebase? Particularly interested in how you prevent conflicts when agents are making concurrent mo…
-
comment
Comment #47137189
This matches my experience. I work across a multi-repo microservice setup with Claude Code and the .env file is honestly the least of it. The cases that bite me: 1. Docker build ar…
-
comment
Comment #47137106
The multi-agent budget problem you're describing gets even harder when the services are heterogeneous. In a RAG pipeline, a single user query might hit: query analysis (LLM call), …
-
comment
Comment #47135085
Re: when to add a WebSocket gateway vs keeping it in the monolith — I've built multi-channel chat infrastructure and the honest answer is: keep the monolith until you have a specif…
-
comment
Comment #47135051
Nice project, especially given the VRAM constraints. A few things I've learned building production RAG that might help: 1. Separate your query analysis from retrieval. A single LLM…