Transforming Developer Hiring: Sensed AI's Hackathon-Based Hiring Approach with TeamCraft

TL;DR: Sensed AI overhauled their developer hiring process by partnering with TeamCraft and Archi's Academy. Instead of relying on technical interviews, they used hackathon-based hiring to evaluate 22 full-stack engineers in real-world scenarios, ultimately shortlisting the top two candidates through data-driven workflow analysis.

What Is Sensed AI's Hackathon-Based Hiring Approach?

Sensed AI's hackathon-based hiring replaces traditional interviews with structured, team-based development projects. Rather than testing candidates on abstract algorithm puzzles, Sensed AI evaluated applicants on their ability to build and deploy functional software over a multi-day sprint.

Sensed AI is an Earth Observation and AI company based in Istanbul. They build scalable systems for urban and agricultural monitoring and needed full-stack engineers capable of maintaining frontend interfaces alongside complex backend AI integrations. Working with Archi's Academy and the TeamCraft platform, they designed a hiring sprint that mirrored their actual product environment. (Read their official collaboration announcement here).

Why an AI Hiring Strategy Requires Real-World Evaluation

Evaluating candidates for full-stack roles - especially internships and junior positions - is a major challenge for deep-tech companies. A large volume of applicants can pass basic coding tests, but assessing how they apply that knowledge in a production environment is much harder.

Resumes don't reveal whether someone can build a secure, scalable platform. Standard interviews can't show how an engineer structures commits, manages pull requests, or incorporates feedback. And testing candidates in isolation provides no signal on their collaboration skills.

By adopting an execution-driven hiring strategy, Sensed AI bypassed these limitations and focused purely on demonstrable skills.

How the TeamCraft Platform Evaluated Candidates

The Archis Academy hiring model, powered by TeamCraft, ran a multi-stage hackathon evaluation that looked beyond the final code output.

Aptitude Baseline

The process began with a foundational quiz covering core web technologies to ensure a basic technical baseline before project execution.

Team-Based Project Execution

Candidates were placed into teams and assigned real-world development tasks. Over a multi-day sprint, they resolved 22 tickets and submitted 22 pull requests, working in a simulated environment mirroring Sensed AI's engineering culture.

AI-Assisted Workflow Analysis

Instead of manually reviewing every line of code, TeamCraft provided continuous insights into candidate behavior across four key metrics:

Evaluation Dimension	Traditional Hiring	Sensed AI Hackathon-Based Hiring
Code Intelligence	Whiteboard pseudo-code	Pull request quality and architecture (Avg Score: 60)
Project Execution	Abstract problem solving	Ticket completion and sprint velocity (Avg Score: 82)
Technical Competency	Rote memorization	Real-world framework integration (Avg Score: 63)
Professional Behavior	Behavioral Q&A	Team collaboration and PR feedback response (Avg Score: 49)

The data revealed that while candidates could execute tasks, deeper code intelligence and professional collaboration were the true differentiators. Out of 22 participants, only two met Sensed AI's rigorous standards.

Practical Steps for a Developer Hiring Process

• Test foundations first: Use short technical quizzes to weed out candidates lacking basic competency before investing time in a hackathon.
• Evaluate the workflow: Track how candidates structure their commits and interact with pull requests over multiple days.
• Use weighted scoring: Balance project execution speed with code intelligence and teamwork to prevent hiring fast but sloppy engineers.
• Simulate the team environment: Assign collaborative tasks to see how developers handle blockers and communicate with peers.

Common Mistakes in Internship Hiring Tech

• Only reviewing the final product. Ignoring the development process means you miss chaotic commit histories and poor architecture.
• Equating speed with skill. High project execution scores without strong code intelligence leads to unmaintainable technical debt.
• Skipping behavioral evaluation. Failing to assess how a candidate handles code reviews will result in hiring poor communicators.
• Using abstract coding tests. Assessing a frontend hiring hackathon candidate on backend sorting algorithms yields useless data.

FAQ

What is hackathon based hiring? It's a recruitment method where candidates build functional software in a structured, time-bound project environment instead of sitting through theoretical interviews.

Why is full stack engineer hiring so difficult? Companies need to evaluate whether a candidate can integrate frontend interfaces with backend databases seamlessly. Standard coding tests just can't measure that.

How does the TeamCraft platform help with recruitment? TeamCraft provides a collaborative project environment where companies can automatically track candidate workflows, code quality, and team collaboration throughout the assessment.

What was the focus of the Sensed AI hiring process? They wanted candidates who could build scalable systems. The evaluation centered on real-world project execution, code quality, and teamwork.

Why did Sensed AI use Archis Academy hiring methods? The experiential hackathons gave them deep workflow visibility, allowing them to accurately filter 22 candidates down to the two most capable engineers.

Conclusion

Sensed AI's developer hiring process demonstrates that real-world execution is a reliable predictor of engineering success. By partnering with Archi's Academy and using the TeamCraft platform, they moved past the limitations of traditional interviews.

For companies looking to hire strong technical talent, hackathon-based hiring separates those who understand theory from those who can actually build.