Engineering leaders measure what matters.

iftrue unifies AI code attribution, DORA metrics, and team health into one signal. So you make decisions with data, not dashboards.

AI Code Attribution

live
38%
↑ 12.4
AI-authored lines shipped this sprint

• Copilot 38%
• Cursor 22%
• Human 40%

Cycle Time
1.6 days
−61% vs last quarter

1:1 prep ready
4 talking points · 2 wins · 1 risk
→ Maya's review latency is up 2.3× this week.

Engineering teams shipping 2× faster with iftrue

How it works

Three messy signals. One honest picture.

AI adoption shattered the metrics you used to trust. We rebuild them by connecting the code, the delivery system, and the humans doing the work.

• AI authorship
  • Copilot · Cursor · Claude
• Delivery system
  • GitHub · Jira · Linear
• People & flow
  • Slack · surveys · 1:1s

iftrue signal

AI is working for Mobile. Not yet for Platform.
Mobile ships 42% faster with 38% AI code and no quality regression. Platform adopted Copilot at the same rate but cycle time is flat and rework is up.

Outcomes leadership acts on

• Which AI tools pay for themselves
• Where to invest engineering time next
• Who needs support before they churn
• What to bring to the board deck

The platform

Built for the three questions every engineering leader is asked this year.

AI Impact
See which lines of code AI actually wrote. Per-PR attribution across Copilot, Cursor, Claude. Stop debating AI ROI. Measure it.

12 func refreshToken() async throws {
13     guard let existing = token else {
14         throw AuthError.noToken
15     }
16     let request = URLRequest(url: url)
17     let (data, _) = try await URLSession.shared.data(for: request)
18 }

Delivery Intelligence
Ship faster with confidence, not hope. DORA auto-tracked from your stack. Forecast sprint outcomes with actual velocity.

• Deploy freq 5.2/day
• Lead time 1.6d
• Change fail 4.1%
• MTTR 38m

Elite tier on 3 of 4 DORA metrics. Ship-day is Friday.

Team Health
Retain your best engineers. Burnout signals, 1:1 prep, workload balance, before the resignation letter.

• MC
  • Maya Chen
  • Review load ↑ 2.3×
  • At risk
• DA
  • Diego Alvarez
  • Balanced · on-track
  • Healthy
• PR
  • Priya Rao
  • Prompt churn up
  • Watch
• JV
  • Jonas Vogel
  • Shipping consistently
  • Healthy

Proof, not promises

Teams that switched to iftrue inside 90 days.

• 60% cut in cycle time
• 2× feature velocity
• 8wk to positive ROI

Plugs into where your team already works.

Connect in minutes. No code changes. No new tabs for your engineers. iftrue runs in the background and surfaces insight in Slack.

Version control

Issue tracking

AI tools

Communication

Case study · Top Media

"iftrue gave us the AI adoption metrics we were missing. We can finally tell which teams are getting real lift from Copilot, and which ones are just shipping more churn."

Cycle time faster: 60%
Rework rate from 18% to 9%
AI code ratio from 0% to 38%

See what your engineering org is missing.

30-minute walkthrough, tailored to your stack. No slides. Your team's data.