Investment Allocation
Where does your engineering
time actually go?
The board asks how much you spend on features vs. tech debt. Today you guess. CodePulse reads your GitHub data and gives you the real answer, automatically.
No credit card required. Connects to GitHub in under 5 minutes.
The board asks. You guess.
Engineering leaders need to justify investment with hard data. Without automated classification, you end up in spreadsheets and Slack threads.
33%
of engineering time goes to tech debt on average
McKinsey estimates 20-40% of engineering capacity is consumed by technical debt. Most leaders underestimate the real number.
40-50%
of dev time lost to unplanned work
Nearly half of development effort goes to reactive work like bugs, incidents, and firefighting instead of planned features.
75%
of tech leaders expect moderate-to-severe debt by 2026
Accelerated AI adoption and feature pressure are compounding the problem. Without measurement, it only gets worse.
See the full picture at a glance
Every pull request gets classified into investment categories so you can see the breakdown over time.
Real-time allocation breakdown, auto-classified from your GitHub pull requests
Stop guessing. Start proving.
Get the numbers your board, your CFO, and your team actually need.
Auto-Classification
PRs are categorized into Features, Bugs, Tech Debt, Infrastructure, and more using GitHub labels, Jira/Linear data, branch names, and AI fallback. No manual tagging.
Trend Over Time
Track how your investment mix shifts quarter over quarter. Spot when tech debt creeps past your target before the board asks.
Team and Repo Breakdown
Drill into allocation by repository or team. Understand which teams carry the maintenance burden and which ship new value.
Board-Ready Exports
Export allocation data as CSV or use the dashboard directly in presentations. Clean visuals that executives understand in seconds.
How it works
Three classification layers work together so you never have to tag PRs by hand.
Three-layer classification with manual override support
Up and running in 5 minutes
No config files. No manual tagging. Connect GitHub and get your allocation data immediately.
Connect GitHub
Install the CodePulse GitHub App. We read metadata only, no source code access. Your team keeps working exactly as they do today.
Auto-Classification Runs
Every PR is classified using labels, linked issues, branch names, and AI. Historical PRs are backfilled so you see trends from day one.
Share With the Board
Open the Investment Allocation dashboard. Export as CSV or share the live view. Answer "where does engineering time go?" with real data.
Team-level insights, not individual surveillance
Investment allocation is about understanding where your organization invests, not tracking who fixed the most bugs. CodePulse shows allocation by repository and team, not leaderboards of individual work types. Your engineers will not hate this tool.
Why CodePulse for investment tracking?
| CodePulse | Enterprise Platforms | Spreadsheets | |
|---|---|---|---|
| Setup time | 5 minutes | Weeks to months | Ongoing manual effort |
| Classification | Auto (labels + AI) | Manual config required | Fully manual |
| Data source | GitHub native | Multiple integrations | Self-reported |
| Pricing | Free tier included | $30-50k+/year | Free (but costly in time) |
| Time to value | Same day | 4-8 weeks | Never accurate |
| Anti-surveillance | Team-level only | Individual tracking | Depends on builder |
Know where every engineering hour goes
Connect GitHub, get your allocation breakdown, and walk into the next board meeting with real numbers.
Free tier included. No credit card. Setup takes under 5 minutes.