Candidates
Julian Hayes
88%
Maya Patel
N/A
Candidate Management
Track every candidate's journey from invite to offer with granular performance data.
Senior developers are wasting 10+ hours a week grading take-home assignments and running technical screens instead of shipping core product features.
A candidate who can reverse a linked list on a whiteboard might still take down your production database on day one. Theoretical algorithms don’t predict on-the-job performance.
Standard browser-based coding tests are instantly solvable with modern AI. You are no longer measuring a candidate's actual engineering depth; you are measuring their prompting ability.
Candidates
Julian Hayes
88%
Maya Patel
N/A
Track every candidate's journey from invite to offer with granular performance data.
Emeka Okafor
2/3 tasks completed
Score
Pass mark: 70%
Our engine reviews code logic, performance, and best practices so your team doesn't have to.
Praxicraft ROI
Hours Saved
2h
Estimated Cost Saved
$213
Based on manual grading averages
Quantify the time and capital saved by automating your technical screening funnel.
Custom Tasks
The Memory Leak Spike
The Ghost Deployment
Easily convert your own internal incidents into hire-able task assessments.
Anti-Cheat Controls
Enforce Fullscreen
Warns & tracks if candidate exits FS
Disable Copy-Paste
Blocks pasting external code into IDE
True containerized environments prevent copy-pasting and generic AI-prompted solving.
Greenhouse
Lever
Sync effortlessly with Greenhouse, Lever, and other major ATS platforms.
Fully automated, system-generated grading that gives hiring managers an objective "Yes/No" without draining engineering resources.
Turn your actual past incidents, database schemas, and broken pipelines into deployable, hire-able test environments.
Secure, locked-down container environments with active anti-cheat measures that block external copy-pasting.
Granular analytics on the candidate's execution speed, infrastructure cost-efficiency, and system resilience.
A seamless Enterprise API that pushes final scores, code replays, and candidate analytics directly into Greenhouse or Lever.
Forces your senior engineers to waste 10+ hours a week proctoring, reviewing, and debating candidate submissions.
Abstract algorithm puzzles and brainteasers that candidates memorize, which have zero correlation to your actual tech stack.
Browser-based text boxes that are instantly solvable by pasting the prompt into ChatGPT in another tab.
A binary pass/fail grade based on hidden unit tests and Big-O notation.
Disconnected platforms that force recruiters to manually download code snippets and share PDF reports on Slack.
Comparison of Praxicraft Assess and traditional hiring workflows for organizations evaluating technical candidates.