Arun Kumar

How Indian developers use AI chat tools for debugging, files, and daily coding work

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In real-world development, a lot of time is spent not only on writing code, but on understanding context:


Reading large requirement PDFs and Excel sheets


Understanding error screenshots shared by QA or clients


Debugging long stack traces and server logs


Converting business language into SQL, APIs, and backend logic


Learning new frameworks with limited time and sometimes limited hardware


For many developers in India, there are additional constraints:


Mixed use of laptops and mobile devices


Unstable or slow internet in some areas


Need for simple explanations instead of heavy documentation


Working in English and sometimes in local languages


An AI chat system like SambhashApp can help in practical ways:


File Understanding

Upload PDFs, Excel, Word, or images and get clear summaries and answers.


Screenshot Debugging

Paste an error screenshot and receive root-cause explanation with fix steps.


Log & Stack Trace Analysis

Convert long logs into readable insights and actionable suggestions.


Code Assistance

Generate, refactor, and explain code step-by-step.


Multilingual Queries

Ask in simple English or mixed language and still get accurate technical help.


Instead of searching across multiple blogs, documentation pages, and forums, having one assistant that understands code, files, and images together can save a lot of time for working developers.

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