SkillFoundry and the End of the Whiteboard Interview

Your best engineer probably could not pass your own interview. For Amichai Shamah, that uncomfortable truth became the spark for something bigger. After eight years as a software engineer, most recently as a senior staff engineer at a major cybersecurity company, he had seen the pattern too many times. Brilliant builders froze at the whiteboard. Memorizers sailed through. The people who could actually do the job were often the ones the process rejected.

"In eight years as an engineer, I never once needed to invert a binary tree," Shamah says. "Yet that's how the industry decides who gets hired." That frustration led him to build SkillFoundry, a hiring platform designed for how engineering actually works in 2026.

The Problem With Puzzles

Traditional technical assessment platforms all share one blueprint. They drop a candidate into a locked-down browser editor, hand over a puzzle, proctor the session, and grade the final answer. The model measures whether someone memorized the right solution. It says almost nothing about whether they can do the job.

SkillFoundry starts from the opposite premise. Instead of scoring the answer, it observes the work. Candidates take on a real task drawn from an already-solved open-source issue, inside a real development environment, not a sealed puzzle box. They investigate, plan, test, recover from mistakes, and communicate, exactly as they would on a real team.

The engine behind this approach is where Shamah's background becomes an advantage. SkillFoundry runs on a patent-pending behavioral telemetry engine, adapted from the techniques security teams use to detect threats. The provisional patent was filed in 2026.

"We stopped asking candidates questions and started watching how they work," Shamah explains. "It's the same shift security teams made years ago: you catch attackers by behavior, not by quizzing them."

Evidence, Not Vibes

Most hiring decisions come down to a gut feeling and a number. SkillFoundry replaces both with proof. As a candidate works, the platform produces a structured hiring report scored across ten dimensions, including Task Outcome, Problem Solving, Execution Discipline, Collaboration, Requirements, Risk Management, Velocity, Tool Mastery, Learning Behavior, and Professionalism.

Every score is backed by timestamped evidence. A hiring manager can see exactly why a candidate landed where they did, not just a figure without context. That shift from scores to evidence changes the entire conversation around a hire. Decisions become defensible, auditable, and easier to stand behind.

Candidates do not work in silence either. An embedded AI "customer" and technical project manager answer questions throughout the assessment. This lets SkillFoundry capture how someone clarifies requirements and collaborates, which is often the difference between a good engineer and a great one.

AI Is Signal, Not Cheating

The biggest blind spot in traditional hiring is its treatment of AI. Legacy platforms have to ban or police AI tools, because their entire model depends on catching the single correct answer. In a world where AI has reshaped daily engineering work, that stance measures for a job that no longer exists.

"The best engineers in 2026 are the ones who use AI well," Shamah says. "Platforms that treat AI as cheating are measuring for a job that no longer exists." SkillFoundry flips this logic. Rather than penalizing AI use, it measures how well a candidate uses their tools, because that is what actually matters on a modern engineering team.

This perspective reflects a larger truth about the industry. The definition of a "good engineer" is changing. Judgment, orchestration, and the ability to direct powerful tools now matter as much as raw syntax recall. SkillFoundry was built for that reality from the ground up.

A Fairer Deal for Candidates

Fairness sits at the heart of the platform. Because tasks are drawn from already-solved open-source issues, candidates never touch an employer's private codebase. That means nobody does free work for a company under the guise of an interview, a quiet but real problem with many take-home assessments.

Candidates can also ask questions the way they would on a real team, thanks to the embedded AI customer and technical PM. The experience mirrors the job itself, which gives applicants a genuine chance to show what they can do.

"I built SkillFoundry because everyone deserves a fair shot," Shamah says, "and the only honest way to give someone one is to let them show you the actual work." That belief runs through every design decision, from the real codebase to the evidence-backed reporting.

Built to Go Beyond Code

Developer hiring is only the first vertical. The behavioral telemetry engine is role-agnostic, which means it is not locked into coding puzzles the way competitors are. SkillFoundry has already built assessments for SOC analysts, accountants, and CAD engineers on the same foundation, with more screen-intensive roles on the way.

The long-term vision is simple and ambitious: bring evidence-based assessment to any role where the work happens on a screen. Wherever judgment, process, and tool mastery decide performance, the same approach applies. Watch the work, capture the behavior, and produce a report that managers can trust.

That vision is already drawing attention. SkillFoundry was accepted into Startup Grind in 2026, and Shamah's commentary on broken technical hiring reached more than 127,000 impressions from a single LinkedIn post. The message is resonating because the frustration is real and widely shared.

The Enterprise Standard for Honest Hiring

SkillFoundry is live and built for enterprise, with privacy and compliance tooling that includes SOC 2 Type II, GDPR and CCPA alignment, and bias tools for NYC Local Law 144. From assignment to decision, the workflow is audit-ready, delivering session evidence, trusted tests, and a detailed decision brief that stands up to scrutiny.

For hiring managers tired of guessing, the promise is clear. Replace the whiteboard theater with real work. Replace vibes with evidence. Replace a model that punishes AI with one that rewards the engineers who use it best. The result is better hires, fewer costly mistakes, and a process candidates actually respect.

Explore More About SkillFoundry

If an interview process still measures memorization instead of ability, it may be worth seeing what honest, evidence-based hiring looks like. SkillFoundry is offering a free 90-day Team plan to the first 25 companies, and companies can start with free assessments and no mandatory sales call. Visit the site, review a sample decision brief, and see exactly how a candidate earned every score. Consider giving the next hire, and the team, a fair shot.

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