Make Your Thinking Visible.
Stop being judged by a static resume. Showcase the depth of your logic and the mastery of your tools through the industry's first forensic reasoning engine.
In the AI Era, Code No Longer
Speaks for Your Skills.
Since the advent of ChatGPT and Copilot, anyone can submit near-perfect results in minutes. Hiring based solely on finished results has lost the power to distinguish true capability. Now, "process" data is the only indicator that proves skills.
AI-Native Competency Validation
Instead of blocking AI, we use it as a core tool. We verify practical skills by tracking prompt utilization and critical thinking processes.
Causal Reasoning Forensics
Not just simple scores, but an analysis of the cause-and-effect of candidate decisions. We generate data reports that companies can immediately trust.
Portfolio-Level Projects
Unlike short-term coding tests, we conduct long-breath projects that can be used as actual developer portfolios.
Trust-Based Talent Protocol
Beyond language and local limits, we secure global technical standard data trusted by Silicon Valley partners.
From Scenario Solution to
Global Career Match
DIPIN proves not only technical skills but also the logical thinking process for problem-solving with data, helping make the most trustworthy hiring decisions.
Select Practical Project
Choose a project topic or job role connected to real-world tasks.
Execute Project
Execute the project through interaction with AI and feedback, continuously improving.
Conduct Retrospective Interview
After the project, proceed with an AI retrospective interview based on the completed code.
Generate Report
Receive a validation report including code quality, AI usage, and architectural capability.
Growth-Verification Loop
Students improve lacking skills based on the report, and companies secure talent ready for deployment.
What Developers Are Saying
"I was always anxious about failing coding tests due to a single mistake while rushing to find the answer. But it was refreshing that here, they recognize the flow of my thoughts and how I code. I felt recognized for the depth of my thinking, beyond just whether the code works."
"It was so comfortable to use my usual VS Code and Cursor instead of an uncomfortable web editor. Working with tools and settings I'm used to allowed me to focus solely on problem-solving without distractions, and I think I showed my skills better."
"Nowadays, no developer works without AI in practice, but most tests block AI, which was frustrating. Here, they don't block AI but rather evaluate how smartly I use it to solve problems. I think it's a platform that truly sees who works well in real life."
"I often regretted submitting hastily written code due to the pressure of a ticking clock. But here, they waited for me to think enough and submit at my own pace. Thanks to that, I could carefully consider the architecture like real work, instead of just rushing to implement features."
"I was always anxious about failing coding tests due to a single mistake while rushing to find the answer. But it was refreshing that here, they recognize the flow of my thoughts and how I code. I felt recognized for the depth of my thinking, beyond just whether the code works."
"It was so comfortable to use my usual VS Code and Cursor instead of an uncomfortable web editor. Working with tools and settings I'm used to allowed me to focus solely on problem-solving without distractions, and I think I showed my skills better."
"Nowadays, no developer works without AI in practice, but most tests block AI, which was frustrating. Here, they don't block AI but rather evaluate how smartly I use it to solve problems. I think it's a platform that truly sees who works well in real life."
"I often regretted submitting hastily written code due to the pressure of a ticking clock. But here, they waited for me to think enough and submit at my own pace. Thanks to that, I could carefully consider the architecture like real work, instead of just rushing to implement features."
Proven Job Fit with Data:
DIPIN's Unique AI Tech Validation Metrics
Context-based Forensics
We evaluate the problem-solving process by restoring the history and decision flow into a timeline, not just looking at the final code.
6 Key Competency Analysis
We prove objective skills compared to years of experience by quantifying 6 key indicators: architecture, stability, security, performance, maintainability, and documentation.
"Uses CoT prompting for complex architecture design logic."
"Reliance on AI for boilerplate increased speed by 40%."
AI Dependency & Synergy Verification
Mere copy-pasting is meaningless. We analyze how you controlled and utilized AI as a 'design partner' through a qualitative report.
AI-based Technical Retrospective Interview
After analyzing the code and change history, AI asks technical questions about the reasons for actual choices and trade-offs to qualitatively verify the engineer's thought process.
Prove Yourself with
Real-world Projects
Solve real challenges from Silicon Valley companies and prove your value to the world. It's not just a test; it's an opportunity to change your career.
Silicon Valley Level Projects
From 2 hours to 4 weeks, tackle high-difficulty projects mirroring real work environments.
Portfolio as Career Asset
Every step is recorded, creating a powerful portfolio that demonstrates problem-solving skills, not just final results.
Global Engineering Standard
Where Verified Talent Meets Trusted Global Companies