Category definition
What is Agentic Engineering Intelligence?
Agentic Engineering Intelligence measures the combined work of human engineers and their AI agents. It captures where time actually goes (real coding versus config), every agent run and token cost, at the source and across all repos, then ties it to shipped output, so organisations can see what their AI-assisted engineering produces and what it costs.
Work layer map
How agentic engineering becomes measurable.
Why it's different
Not Git analytics. Not a token counter.
Engineering output now includes agents and tokens. The existing tools each see only half of it.
Why it matters right now
Software is no longer shipped by humans alone. Agent runs, token cost, and config toil are now part of engineering output.
Different from Git analytics
Git tools read the artifact after it lands. We capture the work session before, during, and around the commit.
Different from token counters
Token counters show spend. We show what it produced, the human time it took, and whether leverage improved.
Git-analytics
Waydev, Jellyfish, LinearB
Token tools
Tokscale, Langfuse
DevClocked
Pillars
The work layer beneath the artifact.
A practical category for teams that need to understand humans, agents, costs, and shipped output together.
Work Block
The project-attributed unit inside a session: which client, repo, feature, or task the work belongs to before Time Slice analyses it.
Time Slice
The analytical layer over Work Blocks: coding vs config, plumbing, review, and debug separated at the source instead of guessed from commits.
Work-session capture
The source layer: IDE, terminal, browser, Mac app, and agent sessions captured while the work happens.
Multi-agent, multi-repo view
One picture of concurrent humans and agents across the repos that make up a real product initiative.
Attribution
What shipped, who or what helped ship it, and which project or team it belongs to.
Leverage
The ratio between human hours invested and total shipped output from humans plus agents.
Token economics
Token cost by project, session, and agent tied to output rather than viewed as a disconnected bill.
Privacy-first
Metadata-level capture designed to measure work without screenshots, keystrokes, or surveillance.
Who it is for
One work layer, three launch funnels.
Developers prove their leverage. Teams measure the org. Agencies make human and agent work billable.
FAQ
Category FAQ
The short answers for teams comparing Git analytics, token counters, and agent observability.