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 is an experiential recruitment strategy that 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 technical sprint.

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

Why an AI Hiring Strategy Requires Real-World Evaluation

Evaluating full stack engineer hiring candidates, especially for internship and junior roles, presents a massive challenge for deep-tech companies. A large volume of candidates can pass basic coding tests, but evaluating how they actually apply that knowledge in a production environment is difficult. Traditional methods fail because:

• Resumes do not prove capability — Theoretical knowledge of React or Python does not translate to building a secure, scalable platform.
• Workflow visibility is absent — A standard interview cannot show how an engineer commits code, manages pull requests, or incorporates feedback.
• Team dynamics are ignored — Engineers rarely work alone. Testing candidates in isolation provides no signal on their collaboration skills.

By adopting an execution-driven AI 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:

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? Hackathon based hiring is a recruitment methodology where candidates demonstrate their engineering skills by building functional software in a structured, time-bound project environment instead of taking theoretical interviews.

Why is full stack engineer hiring so difficult? Full stack engineer hiring is difficult because companies must evaluate a candidate's ability to seamlessly integrate frontend interfaces with backend databases, which standard coding tests cannot accurately measure.

How does the TeamCraft platform help with recruitment? The TeamCraft platform facilitates experiential assessments by providing a collaborative project environment where companies can automatically track candidate workflows, code intelligence, and team collaboration.

What was the focus of the Sensed AI hiring process? The Sensed AI hiring process focused on identifying candidates who could build scalable systems by evaluating their real-world project execution, code quality, and ability to work in team environments.

Why did Sensed AI use Archis Academy hiring methods? They used Archis Academy hiring methods because their experiential hackathons provided deep workflow visibility, allowing Sensed AI to accurately filter 22 candidates down to the two most capable engineers.

Conclusion

Sensed AI’s developer hiring process proves that real-world execution is the most reliable predictor of engineering success. By partnering with Archi's Academy and utilizing the TeamCraft platform, Sensed AI successfully moved past the limitations of traditional interviews.

For companies seeking to hire highly capable technical talent, adopting hackathon-based hiring is the most effective way to separate candidates who only understand theory from those who can actually build.