SkilledCoder.ai
SkilledCoder.ai is an AI-native technical hiring platform that replaces traditional screening methods with real work on a real codebase. Candidates are asked to complete tasks that mirror the day-to-day job using AI, while the platform records every prompt and change. Hiring teams receive a ranked shortlist within 24 hours, with each candidate accompanied by a detailed report and proof that the work is genuinely their own. The platform is designed for companies that want to stop wasting engineering hours on take-home assignments, coding puzzles, and AI-polished resumes that reveal little about real ability. The platform addresses the fundamental breakdown of traditional technical screening: take-home tasks can be completed by AI in minutes, coding puzzles are easily rehearsed with the same AI being screened against, and resume screens produce indistinguishable, AI-polished profiles. SkilledCoder.ai solves this by embedding AI into the assessment environment and measuring how candidates collaborate with it. It captures the entire session, including prompts, changes, and rewinds, and grades for technical depth, problem understanding, and AI collaboration. Integrity verification is continuous and uses camera proctoring and agent detection to ensure the score reflects the candidate's own work. SkilledCoder.ai reports that it has completed 65+ assessments and saved 50+ engineering hours, with only 20% of candidates meeting the hiring bar. The platform offers prepaid assessment blocks with per-assessment pricing, starting at $1,000 for 50 assessments. Every block includes real codebase assessments generated per role, in-workspace AI with metered usage, camera proctoring, work trail replay, and a detailed report and risk score for every candidate. This makes the tool suitable for both startups and larger enterprises that want a scalable, evidence-based hiring process.
- Category
- Jobs Hiring
- Pricing
- Paid
Problem solved
Traditional technical hiring is broken because AI lets candidates fake competence through polished resumes, rehearsed puzzles, and take-home tasks completed by AI. SkilledCoder.ai solves this by having candidates do real work with AI on the company's actual codebase, recording and grading the whole session, and verifying authenticity. The result is a ranked shortlist with proof, so hiring teams only interview people who can actually do the job.
Use cases
- Screen engineering candidates with real tasks on your actual codebase
- Evaluate how candidates collaborate with AI and catch AI mistakes
- Verify that submitted work is genuinely the candidate's own via proctoring and agent detection
- Generate a ranked shortlist with detailed reports and risk scores within 24 hours
- Replace take-home assignments, coding puzzles, and resume screens in hiring pipelines
- Reduce engineering hours spent on candidate screening
Audience
- Enterprise
- Startups
Pros
- Candidates work on your actual codebase, not toy problems
- Full session replay shows candidate thinking and AI collaboration
- Authenticity verified with camera proctoring and agent detection
- Ranked shortlist delivered in 24 hours with zero engineering hours to screen
- No seats or lock-in; prepaid blocks with volume discounts
Cons
- Pricing is higher than traditional screening tools for small volumes
- Requires integration with a real codebase and setup per role
- May be overkill for early-stage startups hiring only a few candidates
- Limited public information about underlying algorithms and scoring methodology
- New platform with relatively low number of completed assessments
Official website: https://skilledcoder.ai/
Canonical LambdaBase page: https://www.lambdabase.com/tools/skilledcoder-ai