Engr.Tanveer Ahmad Wattoo

15/03/2026

Most developers work with APIs every day…
But only a few truly understand the different types of APIs and when each one should be used.

APIs are more than simple technical connectors.

They define how systems communicate, scale, and deliver value.

When designing software, architecture, or integrations, choosing the right API approach can determine whether your system runs smoothly or becomes difficult to maintain.

Here’s a simple overview 👇

1️⃣ Open APIs (Public APIs)

These APIs are available to external developers and third-party services.

REST APIs

Commonly used for:
• Weather services
• Authentication systems
• Product catalogs

Why they’re popular:
Lightweight, stateless, and ideal for web and mobile applications.

SOAP APIs

Commonly used for:
• Banking systems
• Insurance platforms
• Government services

Why they exist:
They provide a highly structured format designed for secure enterprise-level transactions.

GraphQL APIs

Commonly used for:
• Social media feeds
• GitHub data queries
• Applications requiring customized data responses

Why developers like them:
Clients can request only the exact data they need, improving efficiency.

2️⃣ Internal APIs

Internal APIs manage communication within an organization’s systems.

They are a core component of modern microservice architectures.

Backend → Backend

Used for:
• Payment synchronization
• Token validation
• Inventory updates

Frontend → Backend

Used for:
• Login requests
• Profile data retrieval
• Live search features

This layer connects user interfaces with backend services.

Service → Database

Used for:
• Creating user records
• Updating profiles
• Generating reports

This enables direct interaction between services and data storage.

3️⃣ Partner APIs

Partner APIs are shared with trusted external organizations.

B2B Integrations

Used for:
• Airline booking systems
• Hotel reservation platforms
• Payment gateways

Affiliate APIs

Used for:
• Product linking
• Commission tracking
• Click analytics

These APIs help companies expand their revenue ecosystems.

Data Sharing APIs

Used for:
• Healthcare records
• Financial data exchange
• Logistics and shipment tracking

They enable secure collaboration between organizations.

The key takeaway

APIs are not just endpoints.

They influence:
• Business models
• Security architecture
• Integration strategies
• System scalability

Selecting the right API design allows your platform to scale efficiently.

Choosing the wrong approach can turn integration into your biggest bottleneck.

For anyone working in software engineering, backend development, or system architecture, having a clear API strategy is essential.

It’s not optional.
It’s foundational.

💬 Question for developers:
When building modern applications, do you prefer REST APIs or GraphQL?

16/03/2025

𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 is a paradigm shift where AI models 𝗹𝗲𝗮𝗿𝗻, 𝗽𝗹𝗮𝗻, 𝗮𝗻𝗱 𝗲𝘅𝗲𝗰𝘂𝘁𝗲 𝘁𝗮𝘀𝗸𝘀 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀𝗹𝘆, often collaborating as multi-agent systems.

But with so many concepts—LLMs, RAG, Reinforcement Learning, and AI orchestration—how do you structure your learning?

𝗛𝗲𝗿𝗲’𝘀 𝗮 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝘁𝗼 𝗚𝘂𝗶𝗱𝗲 𝗬𝗼𝘂:

𝟭. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 – Understand how AI agents differ from traditional AI models and where they fit in real-world automation.

𝟮. 𝗔𝗜 & 𝗠𝗟 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 – Build a strong foundation in deep learning, supervised vs. unsupervised learning, and reinforcement learning for smart agents.

𝟯. 𝗔𝗜 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 – Work with 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, 𝗔𝘂𝘁𝗼𝗚𝗲𝗻, 𝗮𝗻𝗱 𝗖𝗿𝗲𝘄𝗔𝗜 to design AI agents that interact with APIs and function calls.

𝟰. 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠𝘀) – Go beyond basic prompting—dive into 𝘁𝗼𝗸𝗲𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗲𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴𝘀, 𝗮𝗻𝗱 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 for better reasoning and memory.

𝟱. 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 – Explore 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻, 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗺𝗮𝗸𝗶𝗻𝗴, 𝗮𝗻𝗱 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 to enable complex problem-solving.

𝟲. 𝗔𝗜 𝗠𝗲𝗺𝗼𝗿𝘆 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 – Learn 𝗥𝗔𝗚 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀, 𝘃𝗲𝗰𝘁𝗼𝗿 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀, 𝗮𝗻𝗱 𝘀𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝘀𝗲𝗮𝗿𝗰𝗵 to make AI recall and use information effectively.

𝟳. 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗠𝗮𝗸𝗶𝗻𝗴 & 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 – Implement 𝗵𝗶𝗲𝗿𝗮𝗿𝗰𝗵𝗶𝗰𝗮𝗹 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴, 𝗮𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗴𝗼𝗮𝗹-𝘀𝗲𝘁𝘁𝗶𝗻𝗴, 𝗮𝗻𝗱 𝘀𝗲𝗹𝗳-𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 with reinforcement feedback.

𝟴. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗔𝗱𝗮𝗽𝘁𝗮𝘁𝗶𝗼𝗻 – Leverage 𝗳𝗲𝘄-𝘀𝗵𝗼𝘁, 𝘇𝗲𝗿𝗼-𝘀𝗵𝗼𝘁 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗰𝗵𝗮𝗶𝗻-𝗼𝗳-𝘁𝗵𝗼𝘂𝗴𝗵𝘁 𝗿𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗱𝘆𝗻𝗮𝗺𝗶𝗰 𝘁𝘂𝗻𝗶𝗻𝗴 for better responses.

𝟵. 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗦𝗲𝗹𝗳-𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁 – Train AI agents using 𝗵𝘂𝗺𝗮𝗻 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗮𝗻𝗱 𝗮𝗱𝗮𝗽𝘁𝗶𝘃𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 for continuous improvement.

𝟭𝟬. 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚) – Optimize AI context expansion and hybrid AI search for better responses.

𝟭𝟭. 𝗗𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 – Scale AI workflows, optimize latency, and monitor AI behavior in production.

𝟭𝟮. 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 – Use AI for 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗺𝗮𝗸𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 across industries.

Agentic AI isn't just theoretical—it’s powering 𝗻𝗲𝘅𝘁-𝗴𝗲𝗻 𝗔𝗜 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀, 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀.

Understanding how AI agents work will be a defining skill for AI engineers, researchers, and developers in 2025 and beyond.

What’s your take on Agentic AI?

14/03/2025

22/10/2024

😊✨ Balancing work and happiness is the key to staying motivated

03/10/2024

🎉Celebrating September Birthdays at BinaryBrix Pvt Ltd.! 🎂
A wonderful day filled with joy, laughter, and heartfelt moments as we celebrated the birthdays of our amazing team members! Wishing everyone another year of success, happiness, and growth.

24/09/2024

A true Smile 😊 between Best friends is the reflection of a bond that words can't describe, but hearts always understand 😍

06/09/2024

With profound sorrow, we announce the passing of Mr. M. A. Raoof, Patron-in-Chief of the University of Lahore.

A visionary in education, his unwavering dedication to advancing academic excellence and empowering countless students has left an indelible mark on the University and beyond. His legacy will continue to inspire future generations.

May his soul rest in peace.