-> This pattern improves the reliability and manageability of complex interactions with
language models.
-> Frameworks like LangChain/LangGraph, and Google ADK provide robust tools to define, manage, and execute these multi-step sequences
What I learn from Prompt Chaining
-> Prompt Chaining breaks down complex tasks into a sequence of smaller, focused steps known as the Pipeline pattern.
-> Each step in a chain involves an LLM call or processing logic, using the output of the
previous step as input.
Prompt Engineering Vs Context Engineering
-prompt engineering is about asking the question right
-context engineering is about giving the model the right information before it even answers
good prompt + wrong context = still a bad answer
both matter but solve different problem
Today's update
Database and auth/register working properly
Solve 2 codeforces question easy but tricky
And revise two pointer by solving 3 to 4 Leetcode problem
And learn about graph data Structure
And basics of CI/CD PIPELINES (why it is used , How it help in automation )
Today's update
>>Dsa
4 Leetcode problems from neetcode 250
1 codeforces problem of TLE cp-31 sheet
>> Project
Work on auth service by implementing designed db architecture to code ( without ai ) for our saas application orbyte
Let's grind little more for today
Today's update
>>Dsa
4 Leetcode problems from neetcode 250
1 codeforces problem of TLE cp-31 sheet
>> Project
Work on auth service by implementing designed db architecture to code ( without ai ) for our saas application orbyte
Let's grind little more for today
Let's comeback after too many stressful days of exam and health issues 😭
Restart again
I participated in @motiadev hackathon let's build and learn something good by this hackathon