AI adoption, risks, and member anomalies
Oobeya turns Blamely attribution signals into clear good insights, areas to improve, and team-level anomaly signals such as AI usage and token cost outliers.
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Launch webinar
Launch + live product demo: AI coding attribution with Blamely by Oobeya
Watch Şükrü Çakmak and Abdulkerim Atik introduce Blamely: a practical session on local-first AI or human code origin, supported AI coding tools, token cost visibility, quality signals, and why Git blame is no longer enough for AI-assisted software development.
A focused launch webinar introducing Blamely, with a live demo of local-first AI coding attribution for engineering teams.
Date
July 8, 2026
Wednesday
Time
1:00 PM UK Time
Your local browser time
Format
Online webinar
Launch + live demo
Event Recording
Watch the Blamely launch session
Watch the full recording on AI vs. human attribution, model and token cost visibility, quality signals, and the Blamely live product demo.
What we will cover
A practical session for AI-assisted engineering visibility
The session is designed for engineering leaders, platform teams, DevOps leaders, security stakeholders, and teams asking practical questions: Was this code AI or human? Which model contributed? What did it cost? What quality risks should we review?
01
AI or human? How Blamely helps teams understand who or what wrote code, line by line
02
Which assistant, which model, what cost? How token usage and AI assistance become visible
03
How local attribution, editor signals, and git notes support review and governance
04
What quality signals should teams watch when AI-generated code enters pull requests and review
05
A launch walkthrough and live product demo of Blamely for modern AI coding workflows
Product launch spotlight
Blamely by Oobeya brings code-origin context to AI-assisted development
Blamely helps engineering teams understand who or what wrote code across AI and human contributions, which assistants and models were involved, and how that attribution is stored in git-native context. In this launch webinar, we will introduce the local-first workflow, show attribution reports, and discuss how it supports review, governance, and AI impact measurement.
Visit blamely.aiLocal-first AI attribution
Trace every line to a person or AI assistant through a local CLI and editor workflow, with no account required.
Assistant and editor coverage
Capture attribution from Claude Code, Cursor, GitHub Copilot, Codex CLI, Gemini CLI, Devin, OpenCode, VS Code, JetBrains, and more.
Git-native governance context
Store attribution in git notes and use local reports to review AI share, tool mix, file ranges, and token context.
Blamely + Oobeya integration
See Blamely attribution context inside Oobeya
Blamely code-origin signals become more useful when local attribution, supported AI tools, git-native reports, token context, and AI share are connected with Oobeya insights, improvement areas, and team-level anomalies.
