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Pillar 02

Correlate the ROI
of the vibe.

Model your own return before you commit. Enter your team size and AI spend — numbers update live.

Open ROI calculator →

Stop treating AI like a black box. CodeVine provides the ultimate observability layer for agentic development — capturing the full lineage of every AI interaction from prompt to production.

Full Interaction Lineage

Every prompt, every token, every model call — traced, indexed, and searchable. Know exactly what AI did and why.

Dollar Spend per Developer

Track token costs and exact dollar spend per developer or project. No more surprise AI bills.

ROI to CFO, in Minutes

Tie AI spend directly to engineering output. Identify your top AI performers and prove business value instantly.

Agentic Flow Dashboard Last 30 days
$4,280 Total AI spend
TBD Estimated ROI
89k Prompts logged
Top performers by output velocity
W. Burke
94
D. Swartz
82
J. Kim
71
S. Okafor
65
◆ Totally unique capability

DataDog tracks usage.
GitHub tracks code.
Jira tracks tickets.
Nobody connects all three.

Until now. CodeVine is the only platform that correlates AI interactions with developer output across source control and project management — so you can answer the question that actually matters to leadership.

Usage data
DataDog
Tracks tokens, cost, model calls
✗ No code output
+
Code output
GitHub
Tracks commits, PRs, velocity
✗ No AI context
+
Work context
Jira
Tracks tickets, delivery, sprints
✗ No AI attribution
=
CodeVine
The answer
Did AI make this team ship faster? Which workflows drove it? Who needs coaching?
30
Days to measurable ROI proof
3
Data sources unified automatically
0
Competitors who connect all three
◆ Totally unique capability

Zero-latency capture.
No tradeoffs.

Every other logging layer makes you choose: capture everything and slow your developers down, or stay fast and lose context.

Our proprietary architecture captures full interaction data — prompts, responses, tool usage, file uploads, repository context, active tickets — without blocking a single AI response.

This isn't a performance optimization. It's what makes everything downstream — the ROI measurement, the workflow intelligence, the capability flywheel — actually work. You can't correlate AI usage to outcomes if you don't capture the context.

Added latency
0ms
Async capture pipeline
Context captured
100%
Every interaction, fully logged
codevine — interaction capture
// interaction captured — 0ms delta
event
user: "w.burke@codevine.ai",
model: "claude-sonnet-4",
repo: "codevine/gateway-core",
ticket: "CV-1842",
tokens_in: 4821,
tokens_out: 1204,
tools_used: ["read_file","bash","edit"],
files_touched: ["src/proxy.ts","tests/"],
latency_delta: 0,
logged to lineage store — async
Typical gateways
Speed or context. Pick one.
Prompt text✓ Captured
Response text✓ Captured
Token counts✓ Captured
Tool calls✗ Not captured
Repository context✗ Not captured
Active ticket✗ Not captured
Files touched✗ Not captured
Outcome correlation✗ Impossible
Added latency
Fast + thin
~8ms
Full context
~180ms
CodeVine
Full context. Zero delta.
Prompt text✓ Captured
Response text✓ Captured
Token counts✓ Captured
Tool calls✓ Captured
Repository context✓ Captured
Active ticket✓ Captured
Files touched✓ Captured
Outcome correlation✓ Enabled
Added latency
CodeVine
0ms
Async capture pipeline — logging never sits in the request path.

Ready to measure the ROI?

Book a 20-minute call. We'll show you exactly how CodeVine correlates AI spend to engineering output.

Talk to us →