G2

Ashish R.

Student Developer

Small-Business (50 or fewer emp.)

9/2/2026

"Saved me from hours of blind debugging on my AI backend"

4/5

What do you like best about LangSmith?

Honestly the most important thing is being able to look at what my prompts are actually doing behind the scenes. As I was integrating AI capabilities into my web app backend, I was blindly making too many attempts with APIs. LangSmith offers an excellent trace of the whole process in a very visually appealing way. This is going to save me lots of time because I am going to know exactly which particular part went wrong instead of looking at some normal errors from the console. Review collected by and hosted on G2.com.

What do you dislike about LangSmith?

On the other side, the dashboard can get a bit messy type at the first time around logging into it. There is simply too much happening with all the traces, and I had trouble finding my token usage stats at first. Also, configuring the environment variables to properly connect to my local web application was a bit time taken or bothered me on the first day around. It seems that the UI was designed for large enterprises and not individuals trying to prototype and debug things. Review collected by and hosted on G2.com.

What problems is LangSmith solving and how is that benefiting you?

I can say it majorly solves the 'black box' problem that comes with using LLMs. Whenever creating the backend of Marketplus(My Major Project) and any AI chain didn't work or produced an undesired output, identifying the error used to be a pain. But with the help of LangSmith, I can get a clear view of all steps taken in the execution of the prompt. The first advantage here is saving the time during debugging. Another benefit is keeping track of the tokens, especially during the development of the web application. Review collected by and hosted on G2.com.