The vocabulary of AI-era technical hiring
Definitions for the vocabulary of AI-era technical hiring: process telemetry, agentic coding assessment, orchestration skill, AI cheating detection, and more.
Agentic coding assessment
An agentic coding assessment is a technical evaluation where the candidate works on a real coding task with their own AI agent — Claude Code, Codex, or Cursor — and the platform captures the full session as process telemetry so reviewers can grade how they orchestrated the AI, not just whether the final code passed tests.
Also known asagentic coding interviewAI agent coding interviewClaude Code assessmentagentic developer evaluationAI-collaboration interviewRead definition →AI cheating detection
AI cheating detection in coding interviews is the practice of identifying whether a candidate is using AI assistance against the assessment's rules — or, in the post-2024 model, whether the AI use the candidate disclosed actually matches what they did. The honest version uses process telemetry to find contradictions; the legacy version uses typing-speed and paste-frequency heuristics that no longer separate cheaters from serious engineers.
Also known asAI cheating detection in interviewsAI cheating preventionAI-proof coding interviewChatGPT cheating detectionAI plagiarism detection in technical hiringRead definition →AI-enablement platform
An AI-enablement platform is software that helps an engineering organization get more leverage from the AI coding tools it has already adopted — Copilot, Cursor, Claude Code, Codex — by measuring how engineers actually work with those tools and turning that into guidance for leaders and developmental feedback for individual engineers. It sits above the coding tools rather than replacing them.
Also known asAI enablement softwareAI adoption platform for engineeringAI fluency platformdeveloper AI-effectiveness platformRead definition →AI-era technical hiring
AI-era technical hiring is the practice of assessing software engineers under the assumption that they use AI coding agents — Claude Code, Cursor, Codex — to do their real work. The interview loop measures how the candidate orchestrates the agent, not whether they can write code without one, because the latter no longer predicts on-the-job performance.
Also known asAI-native technical hiringagentic-age technical hiringpost-LeetCode hiringAI-proof technical interviewAI-collaboration interviewRead definition →Orchestration skill
Orchestration skill is the ability of a software engineer to direct an AI coding agent — like Claude Code — through real engineering work: scoping the problem before prompting, articulating tradeoffs, pushing back when the model is wrong, sequencing tool calls in the right order, and knowing when not to hand work off. It is the skill that replaced raw coding throughput as the primary signal for senior engineers in 2026.
Also known asAI orchestrationAI orchestration skillAI tool orchestrationagent orchestrationdeveloper orchestrationRead definition →Process telemetry
Process telemetry, in technical hiring, is a structured record of how a candidate worked with their AI assistant during a coding session: every prompt they sent, every diff the model produced, every command they ran, and every decision they made along the way — captured as typed events and replayed as a searchable timeline.
Also known assession telemetrycandidate process telemetryworkflow telemetryagentic process captureRead definition →
Read the process,
not just the commit.
Twelve founding teams will ship this with us. A technical screen that can't tell paste from craft isn't neutral. It's a ~$200K coin-flip you won't catch for months. If you hire 5+ engineers a year, we should talk.