Dev Journal
Technical notes from the Fitlane AI team — development, AI matching, product decisions, transparent experiments.
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Navigating GDPR's Automated Decision-Making in Hiring
We implemented a transparent scoring model to comply with GDPR requirements, enhancing candidate trust and improving the hiring process.
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Navigating the EU Pay Transparency Directive: Salary Disclosure in Job Ads
We revised our job postings to comply with the EU Pay Transparency Directive, ensuring salary ranges are included in every ad.
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Navigating NYC Local Law 144: A Practical Guide to AEDT Bias Audits
We implemented a structured approach to comply with NYC Local Law 144, ensuring thorough AEDT bias audits and transparent candidate evaluations.
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Why Developers Ghost Your Hiring Process and How to Cut It
Explore the reasons behind candidate ghosting in hiring processes and actionable strategies to reduce drop-off rates.
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The Pair Programming Interview: Format, Rubric and Failure Modes
This guide explores the format and common pitfalls of pair programming interviews to help improve the hiring process for developers and recruiters.
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Crafting Candidate Rejection Emails That Preserve Your Employer Brand
Learn how to write effective candidate rejection emails that maintain your company's reputation and provide a respectful experience for all applicants.
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Essential Technical Screening Questions for Effective Hiring
This guide provides a comprehensive question bank for technical screening, designed to reveal genuine skills over buzzwords.
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Structured Interviews: How to Run Them for Software Engineers
Structured interviews enhance the selection process for software engineers by improving predictive validity. This guide outlines how to implement them effectively.
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Interview Scorecard Template for Engineering Hires
A structured interview scorecard can streamline the hiring process, reduce bias, and improve decision-making for engineering roles.
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Take-Home Assignment vs Live Coding Interview: Which Signal Is Worth the Cost
Hiring managers must choose between take-home assignments and live coding interviews to assess developer candidates effectively. This guide compares the two methods in terms of signal quality, bias, and candidate experience.
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How to Detect AI Cheating in Technical Interviews Without Turning Into a Cop
This guide provides insights on identifying AI cheating in technical interviews, highlighting effective detection signals and interview formats.
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Navigating Candidate Sourcing: AI Tools vs Job Boards vs Referrals
We explored the trade-offs between AI sourcing tools, job boards, and referrals to enhance candidate quality and reduce sourcing costs.
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