Deepanshu

97 posts

Deepanshu banner
Deepanshu

Deepanshu

@DeepanshuCode9

Mern ll Java Full Stack Developer @sheryians https://t.co/eWe1lkMOa6

india Haryana Katılım Eylül 2021
51 Takip Edilen13 Takipçiler
Deepanshu
Deepanshu@DeepanshuCode9·
Biggest challenge so far: making AI responses feel fast and natural. Curious what matters most to you in AI chat UX?
English
0
0
1
33
Deepanshu
Deepanshu@DeepanshuCode9·
Built a Perplexity-style AI chatbot • Real-time AI responses • Clean chat UI • Markdown rendering • Full-stack architecture Still improving the UX, streaming & response flow #AI #LLM #BuildInPublic
English
1
0
2
99
Deepanshu
Deepanshu@DeepanshuCode9·
Still exploring Docker networking & deployment workflows. Any tips/resources? 👀
English
0
0
1
25
Deepanshu
Deepanshu@DeepanshuCode9·
Started learning Docker & DevOps Dockerized my MERN app using: • Docker Compose • Multi-stage builds • Frontend + Backend containers • Volumes for dev workflow Feels great seeing the app run consistently across environments #Docker #DevOps #MERN #BuildInPublic
Deepanshu tweet media
English
1
0
1
57
Deepanshu
Deepanshu@DeepanshuCode9·
Built SnapCart - a full-stack MERN e-commerce app • Users can browse & buy products • Sellers can create accounts & sell • Google OAuth + Razorpay payments • Clean UI + real backend logic Live: snapcart-7kgp.onrender.com #BuildInPublic #MERN
English
2
0
2
78
Deepanshu
Deepanshu@DeepanshuCode9·
@pavelhegler That’s the next step Focusing on onboarding first sellers and validating the flow in real use.
English
1
0
2
23
Deepanshu
Deepanshu@DeepanshuCode9·
Focused a lot on UI + backend structure to make it feel like a real product. Would love feedback
English
0
0
1
47
Deepanshu
Deepanshu@DeepanshuCode9·
Next step:- seller dashboard to manage created products. Any suggestions on must-have seller features?
English
0
0
1
39
Deepanshu
Deepanshu@DeepanshuCode9·
Built product creation API for my e-commerce project 🚀 Implemented: • Protected seller-only route • Image upload with ImageKit • Product validation • MongoDB product creation Seeing that 201 Created hit different 😄 #BuildInPublic #MERN #BackendDev
Deepanshu tweet media
English
1
0
2
70
Deepanshu
Deepanshu@DeepanshuCode9·
Trying to improve from just coding features to designing systems before building. Do you plan features visually before implementation?
English
0
0
1
39
Deepanshu
Deepanshu@DeepanshuCode9·
Learned today why planning before coding matters. Mapped an e-commerce seller flow into models, APIs, middleware, validation & protected routes. Architecture matters as much as implementation. #BuildInPublic #WebDev
Deepanshu tweet media
English
1
0
3
71
Deepanshu
Deepanshu@DeepanshuCode9·
Still refining the design 👀 What stands out most to you: A) Layout B) Colors C) Typography D) Form UX
English
0
0
1
29
Deepanshu
Deepanshu@DeepanshuCode9·
Built auth for my new e-commerce project • Login/Register UI • Backend Auth • Google OAuth • Frontend Connected How can I improve this UI/UX?🤔 #BuildInPublic #MERN #UIDesign
Deepanshu tweet mediaDeepanshu tweet media
English
1
0
1
56
narsa.🪺
narsa.🪺@rathor7_·
How come there are 7 balls in an over??
narsa.🪺 tweet media
English
136
66
5K
721.3K
Deepanshu
Deepanshu@DeepanshuCode9·
Hint: Look at what's missing in the left controller before the DB call...
English
0
0
1
34
Deepanshu
Deepanshu@DeepanshuCode9·
Idempotency was something I underestimated. how do you handle duplicate requests in production?
English
0
0
1
24
Deepanshu
Deepanshu@DeepanshuCode9·
Building a transaction system with idempotency → Prevent duplicate transactions → Validate sender & receiver 💵 Ensure safe money transfer Learning how backend systems handle reliability. #NodeJS #Backend #BuildInPublic
Deepanshu tweet media
English
1
0
1
45
Deepanshu
Deepanshu@DeepanshuCode9·
@AgiletTask_ That makes a lot of sense, thanks Structuring the input before sending it to the LLM seems like a big unlock. I’ll try implementing section-based parsing and see how it impacts output quality.
English
0
0
1
5
AgileTask.ai
AgileTask.ai@AgiletTask_AI·
@DeepanshuCode9 Section-based parsing is the right call — treating the resume as structured zones rather than raw text makes the LLM's job much easier. We do something similar in AgileTask for sprint generation — structure the input before the LLM sees it and quality jumps significantly.
English
1
0
1
4
Deepanshu
Deepanshu@DeepanshuCode9·
Building an AI Resume Analyzer 🤖 → PDF → LLM → Interview insights → Questions + skill gaps Improving prompt structure for better results. #AI #NodeJS #BuildInPublic
Deepanshu tweet media
English
2
0
1
58