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
Join Şükrü Çakmak and Abdulkerim Atik for the Blamely launch webinar: a practical session on AI or human code origin, 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 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
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 contributed to code changes
02
Which model, which workflow, what cost? How token usage and AI assistance become visible
03
What quality signals should teams watch when AI-generated code enters pull requests and review
04
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 AI workflows and models were involved, and where token cost or quality signals need attention. In this launch webinar, we will introduce the product, show the attribution workflow, and discuss how it supports review, governance, and AI impact measurement.
Visit blamely.aiLine-level AI attribution
See whether code was human-authored, AI-assisted, or AI-generated before that context disappears inside commits and pull requests.
Review-ready context
Give reviewers a clearer view of where AI contributed so they can focus attention on the right files, changes, and risk areas.
Governance without workflow drag
Add attribution and audit context around modern AI coding workflows without asking teams to abandon their existing IDE and Git habits.
Blamely + Oobeya integration
See Blamely attribution context inside Oobeya
Blamely code-origin signals become more useful when they are connected with Oobeya insights, improvement areas, member anomalies, prompt maturity, token cost, and AI share context.
Registration
Save your spot for the Blamely launch
Save the date: Wednesday, July 8, 2026. The launch webinar starts at 1:00 PM UK Time based on your browser timezone. Luma registration and the LinkedIn Event are now open.
Primary topic
AI vs. human attribution, model and token cost visibility, quality signals, Blamely launch story, and live demo workflow.
Audience
Engineering leaders, platform teams, DevOps leaders, security stakeholders, and AI transformation teams.
