1.3M
SHHow to start with Web Development? 2023
#coding #development #webdevelopment #coding #programming
@shradhakhapra
#Rapid Application Development Methodology
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SIHow to create the ULTIMATE PRD👇
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FOR ALL VIBECODERS:
The PRD is the most important part of building an app. It’s the ultimate source of truth and context for the AI to build out your app.
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A highly-detailed PRD might lead to a couple hours or days of development time…
A horrible PRD might lead you to a burn out and to never finish your product.
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PAY ATTENTION🚨 This video includes ALL the information your PRD should contain.
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#ai #chatgpt #vibecoding #coding #entrepreneur
@sina.growthtech
![#Rapid Application Development Methodology Reel by @highonnknowledge (verified account) - Thanks to @suparn7 for doing this 🙏🏻
React Optimization Techniques
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[student,coding, code, react, learning, skill, upskill]
#coding #coder #](https://image.pictame.com/img/527390379_17962834814957169_236952267801563736_n.jpg?hash=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)
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HIThanks to @suparn7 for doing this 🙏🏻
React Optimization Techniques
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[student,coding, code, react, learning, skill, upskill]
#coding #coder #frontend #fullstackdeveloper #reactjs #next #api #webdeveloper #webdevelopment #website #web #development #tips #softwaredevelopment #nextjoy #javascript #trainer #technology #smallbusiness #onlineteaching #highonnknowledge
@highonnknowledge
2.2M
MI1 Million RPS isn't about code, it's about architecture.
Here are the 8 key layers to scale your API architecture.
Unlock 200+ practical problem-solutions just like this one in the Ebook. Link in bio
1️⃣ Load Balancer
👉 Distributes traffic across multiple servers so no single machine melts.
Example: 1M req/s split across 200 servers = only 5k req/s each.
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2️⃣ Horizontal Scaling
👉 Add more servers when traffic spikes instead of upgrading one big server.
Example: Black Friday? Spin up 50 more API nodes in seconds.
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3️⃣ Caching Layer
👉 Serve frequent reads from Redis/Memcached to avoid DB overload.
Example: User profile cached → avoids 10M database hits/day.
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4️⃣ CDN for Static Content
👉 Images and static assets load from edge servers near the user.
Example: A user in Delhi gets images from a Delhi CDN node.
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5️⃣ Async Processing (Queues)
👉 Push heavy tasks to Kafka/SQS so API responds instantly.
Example: Payment API returns fast → receipt email sent in background.
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6️⃣ Database Sharding
👉 Split huge datasets across multiple DB shards to scale reads/writes.
Example: Users A–M on shard 1, N–Z on shard 2.
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7️⃣ Rate Limiting
👉 Block or throttle abusive clients to protect server capacity.
Example: “100 requests/sec limit” prevents bots from killing the API.
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8️⃣ Lightweight Payloads
👉 Reduce JSON response size to cut latency and bandwidth.
Example: Return only “id, name, price” instead of 20 unnecessary fields.
#systemdesign #apidesign #scaling #1millionrps #distributedsystems #loadbalancing #caching #microservices #softwaredeveloper #programming #coding #devops #tech #backenddeveloper #backenddevelopment #api #interviews #database #learninganddevelopment #tech
[API Design] [System Architecture] [API Scaling] [1 Million RPS] [Distributed Systems] [Load Balancing] [Database Sharding] [High Availability]
@mission_compile
59.9K
VILearn Coding Faster with THIS Framework!
Coding becomes much easier when you have a clear plan. After 8 years of learning and teaching, I finally built a framework that removes all the confusion and helps you learn the right way.
I call this framework C.L.I.M.B. Watch the reel to understand the CLIMB framework.
Save this and follow for more.
[coding, programming, learn to code, coding roadmap 2025, software engineer, cloud engineer, devops engineer, full-stack developer, climb framework, learn coding, cloud computing, ai, data engineer, system engineer]
@vishakha.sadhwani
128.1K
OKComment "DOCUMENT" to get this AI PRD Generator.
Let's talk about creating a solid Product Requirements Document (PRD) for apps like Bolt or Lovable.
A PRD is more than just a few lines of text. It's a blueprint that helps developers understand what you want your app to do and who it's for. Without it, you might end up with something that doesn't quite fit your vision.
Here's how a PRD can help:
- Clarity: It ensures everyone involved in the project is on the same page.
- Efficiency: Saves time by avoiding misunderstandings and miscommunications.
- Quality: Results in a better final product because it outlines exactly what you need.
Now, let's look at how to create one using a tool like Feedough's AI PRD Generator:
1. Input Your Ideas: Start by entering your app's purpose, target audience, and key features.
2. The Tool Does the Rest: It organizes your inputs into a structured document covering everything from user personas to success metrics.
The good news? This tool simplifies the process, making it easier to get started.
For example, think of building a PRD like planning a trip. You need a map to get where you want to go. Without it, you might get lost. A PRD is your map for app development.
Here are some benefits of using this tool:
- Saves Time: Quickly generates a draft, so you can focus on refining it.
- Improves Quality: Covers all the essential sections to ensure nothing is missed.
- Flexibility: Allows you to make changes until it's just right.
To use it effectively:
- Provide a clear overview of your app.
- Define your target audience.
- List the features that matter most.
By doing this, you can turn your basic app ideas into well-structured documents that developers will love.
#vibecoding #aicoding #prd #productrequirementsdocument #lovable #boltai #cursorai #githubcopilot #windsurfai #aitools #ainews #aiindia #aicommunity
@okaashish
14.1K
INApplication software
#goviral❤️ #viralreels #kypbiharsarkar
@info_kyp_center
82.1K
PR1. FastAPI – Build lightning-fast APIs with automatic docs and modern Python features.
2. Pydantic – Ensure clean, validated data using Python type hints.
3. Logging – Track your app’s behavior and debug issues with structured logs.
4. Testing – Catch bugs early with automated checks for your code and APIs.
5. Async Programming – Handle more with less waiting write non-blocking, efficient code.
6. Database Management – Store, query, and manage data reliably using ORMs and SQL tools.
#datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency
@priyal.py
558.4K
COComment “HLD” to get the complete flow or just take the screenshot.
One System Design Flow for every HLD interview.
Use the flow in your next interview, scale application from 1 to million users and modify your application services in between before servers.
Hope it helps! Follow for more!
#systemdesign #datastructure #hld #reelitfeelit
@codewithnishchal
141.7K
FAPerforming joins especially with large datasets will be a huge challenge in data processing. Here is the fix. 👇
1️⃣ Make a broadcast join
Instead of shuffling 50TB of data across the network to find matches, you should send a copy of the small table to every single worker node.
2️⃣ Map-Side Operation
This converts the operation into a local lookup. Each executor holds the full 100MB table in RAM and joins it against its local slice of the 50TB data.
3️⃣ The Memory Trap
Be careful -> if that “small” table grows too big (e.g., 2GB), broadcasting it will cause Out-Of-Memory (OOM) errors on the executors and crash the application.
4️⃣ Configuration Threshold
Check the spark.sql.autoBroadcastJoinThreshold. If the table is slightly larger than the default (usually 10MB), the system might default to a slow Sort-Merge join unless I increase this limit.
#dataengineering #bigdata #coding
🏷️ Data Engineering, Apache Spark, Coding Interview, Tech Interview, Big Data Processing, Spark, Python
@fatihexplains
87.8K
LE5 coding projects to uncook your resume that you can do in 24 hours - comment “send” for the full list!
#coding #codingprojects #resume #tech #compsci
@lensofjason
27.1K
BA💯 A Most asked questions❓for Backend Developers.
How to optimise your API?
Interview ready answer.
1- Asynchronous programming
2- Database query optimization
3-implement caching
4-dependency injection
That's it to crack this question.
#api #backenddeveloper #java #softwaredeveloper #coding #fast #database #interview #interviewprep
@backendmiles147
✨ #Rapid Application Development Methodology Discovery Guide
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