PRACTICE · AI ENGINEERING
SHASTRA · AI  ·  COMING SOON

LeetCode for AI engineers.

Practice problems for prompts, agents, and AI system design. Graded by AI.

You can build a CRUD app in your sleep. Now you're learning AI engineering — but tutorials feel passive and reading papers isn't the same as building. Shastra gives you challenges to actually practice on. Every submission gets graded across multiple criteria with detailed feedback.

✓ You're on the list. We'll email when the first challenges go live.

For developers moving from web apps to AI systems.

WHAT YOU PRACTICE
01
Prompt design
Write prompts that hold up across edge cases, not just demos.
02
Agent workflows
Design agents that handle tool use, retries, and graceful failure.
03
RAG systems
Chunk, retrieve, rank, and ground responses without hallucinating.
04
Evaluations
Measure what matters when there's no obvious right answer.
05
System design
Architect AI systems that scale, monitor, and improve over time.
06
Failure analysis
Read traces, find the failure mode, fix the right layer.
EXAMPLE PROBLEM
PROBLEM · MEDIUM

Build a hospital support AI agent.

OBJECTIVE

Design an AI agent that helps patients with hospital information, appointment booking, and general queries.

CONSTRAINTS
  • Must handle sensitive medical information
  • Minimize hallucinations
  • Escalate critical cases to humans
  • Support multi-turn conversations
GOTCHAS TO HANDLE
  • Inventing medical information
  • Incorrectly interpreting symptoms
  • Providing non-existent procedures
GRADED ON
Prompt Quality Reasoning Edge Cases Memory Architecture Safety
YOUR SCORE
Reasoning Quality
Depth, logic, and decision making
8.7/10
Architecture
Structure, tool use, and scalability
8.2/10
Edge-case Handling
Robustness and error handling
7.9/10
Prompt Quality
Clarity, constraints, and robustness
8.9/10
Hallucination Control
Accuracy and reliability
8.6/10
✦

Stop reading about AI engineering. Start practicing it.

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SHASTRA AI · PRACTICE · GRADE · IMPROVE