Build a Best-First Search Solver for a Delivery Startup's Test Lab
Overview
What this challenge is about.
Build a Best-First Search Solver for a Delivery Startup's Test Lab. Beginner-friendly challenge in code. Writing production code that solves real engineering...
The Brief
What you'll do, and what you'll demonstrate.
Deliver a teaching-grade implementation of uniform-cost and A-star search with a benchmark and a beginner tutorial.
This is not a coding exercise. It is the work a software engineer does between a Jira ticket and a merged PR. That distinction matters to every hiring manager who has seen candidates solve LeetCode problems and none who have shipped production code under real constraints.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Implement classical search algorithms from first principles
- Design admissible heuristics and reason about their effect on node expansion
- Benchmark algorithms fairly across input sizes
- Write learner-friendly technical documentation
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Introduction to Artificial Intelligence
Bachelor · Ai Systems
Strong alignment
This challenge maps to Introduction to Artificial Intelligence at the Bachelor level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Search Algorithms
Apply search algorithms to solve real industry problems and demonstrate production-level capability.
- Heuristic Design
Apply heuristic design to solve real industry problems and demonstrate production-level capability.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
- Algorithm Benchmarking
Apply algorithm benchmarking to solve real industry problems and demonstrate production-level capability.
- Technical Writing
Apply technical writing to solve real industry problems and demonstrate production-level capability.
- Data Structures
Apply data structures to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Engineer
Implementing core search algorithms cleanly and writing onboarding material is the kind of foundational craft an AI engineer is expected to have on day one at any AI-forward company.
This challenge sharpens
- search-algorithms
- python
- algorithm-benchmarking
Machine Learning Engineer
Clean Python and benchmark discipline transfer directly to the MLE's daily work of comparing model variants under fair conditions.
This challenge sharpens
- python
- algorithm-benchmarking
- data-structures