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Modern engineering teams are shipping faster with AI — but faster code does not always mean safer releases. Sniffr.ai is an AI-powered engineering intelligence platform built to help teams review pull requests, validate requirement coverage, detect code risks, and give leaders visibility into engineering health before release surprises hit production. In this overview video, you’ll see how Sniffr.ai helps engineering teams: ✅ Review pull requests automatically ✅ Detect code quality, security, performance, duplication, and architecture-level issues ✅ Validate whether code changes actually match Jira/Trello/Azure DevOps requirements ✅ Convert requirements into flows and test-case-like validations ✅ Identify missing functional coverage before QA or production ✅ Give CTOs, engineering heads, delivery leaders, and QA teams a live view of engineering health ✅ Track PRs reviewed, issues detected, delivery accuracy, cycle time, mean time to merge, deployment frequency, and team-level execution patterns Sniffr.ai integrates with development and requirement ecosystems including GitHub, GitLab, Bitbucket, Azure DevOps, Jira, Trello, and Azure DevOps Boards. It supports both managed LLM options and Bring Your Own LLM setups for enterprise teams with security and governance concerns. This is not just another AI code review tool. Sniffr.ai is built for teams that want to move from reactive code review and late-stage QA firefighting to AI-led lifecycle validation — from requirements to code to release readiness. Best suited for: CTOs, Engineering Heads, QA Leaders, Product Leaders, Tech Founders, Delivery Managers, DevOps Teams, and AI-powered software teams. Start your free trial: https://sniffr.ai/signup Learn more: https://sniffr.ai/ #SniffrAI #AICodeReview #EngineeringIntelligence #PullRequestReview #SoftwareDevelopment #DevOps #SDLC #Jira #GitHub #CTO

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