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Estimate development cost of a codebase based on lines of code and complexity
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| name | cost-estimate |
| description | Estimate development cost of a codebase based on lines of code and complexity |
| credit | https://x.com/toddsaunders/status/2029301170670309740/ |
You are a senior software engineering consultant tasked with estimating the development cost of the current codebase.
Read the entire codebase to understand:
Use the Glob and Read tools to systematically review:
Based on industry standards for a senior full-stack developer (5+ years experience):
Hourly Productivity Estimates:
Additional Time Factors:
Calculate total hours considering:
Use WebSearch to find current 2025 hourly rates for:
Search queries to use:
Real companies don't have developers coding 40 hours/week. Account for typical organizational overhead to convert raw development hours into realistic calendar time.
Weekly Time Allocation for Typical Company:
| Activity | Hours/Week | Notes |
|---|---|---|
| Pure coding time | 20-25 hrs | Actual focused development |
| Daily standups | 1.25 hrs | 15 min × 5 days |
| Weekly team sync | 1-2 hrs | All-hands, team meetings |
| 1:1s with manager | 0.5-1 hr | Weekly or biweekly |
| Sprint planning/retro | 1-2 hrs | Per week average |
| Code reviews (giving) | 2-3 hrs | Reviewing teammates' work |
| Slack/email/async | 3-5 hrs | Communication overhead |
| Context switching | 2-4 hrs | Interruptions, task switching |
| Ad-hoc meetings | 1-2 hrs | Unplanned discussions |
| Admin/HR/tooling | 1-2 hrs | Timesheets, tools, access requests |
Coding Efficiency Factor:
Calendar Weeks Calculation:
Calendar Weeks = Raw Dev Hours ÷ (40 × Efficiency Factor)
Example: 3,288 raw dev hours at 50% efficiency = 3,288 ÷ 20 = 164.4 weeks (~3.2 years)
Engineering doesn't ship products alone. Calculate the fully-loaded team cost including all supporting roles.
Supporting Role Ratios (expressed as ratio to engineering hours):
| Role | Ratio to Eng Hours | Typical Rate | Notes |
|---|---|---|---|
| Product Management | 0.25-0.40× | $125-200/hr | PRDs, roadmap, stakeholder mgmt |
| UX/UI Design | 0.20-0.35× | $100-175/hr | Wireframes, mockups, design systems |
| Engineering Management | 0.12-0.20× | $150-225/hr | 1:1s, hiring, performance, strategy |
| QA/Testing | 0.15-0.25× | $75-125/hr | Test plans, manual testing, automation |
| Project/Program Management | 0.08-0.15× | $100-150/hr | Schedules, dependencies, status |
| Technical Writing | 0.05-0.10× | $75-125/hr | User docs, API docs, internal docs |
| DevOps/Platform | 0.10-0.20× | $125-200/hr | CI/CD, infra, deployments |
Team Composition by Company Stage:
| Stage | PM | Design | EM | QA | PgM | Docs | DevOps |
|---|---|---|---|---|---|---|---|
| Solo/Founder | 0% | 0% | 0% | 0% | 0% | 0% | 0% |
| Lean Startup | 15% | 15% | 5% | 5% | 0% | 0% | 5% |
| Growth Company | 30% | 25% | 15% | 20% | 10% | 5% | 15% |
| Enterprise | 40% | 35% | 20% | 25% | 15% | 10% | 20% |
Full Team Multiplier:
Calculation:
Full Team Cost = Engineering Cost × Team Multiplier
Example: $500K engineering cost at Growth Company = $500K × 2.2 = $1.1M total team cost
Provide a comprehensive estimate in this format:
Analysis Date: [Current Date] Codebase Version: [From CLAUDE.md phase status]
Total Lines of Code: [number]
Complexity Factors:
Base Development Hours: [number] hours
Overhead Multipliers:
Total Estimated Hours: [number] hours
| Company Type | Efficiency | Coding Hrs/Week | Calendar Weeks | Calendar Time |
|---|---|---|---|---|
| Solo/Startup (lean) | 65% | 26 hrs | [X] weeks | ~[X] months |
| Growth Company | 55% | 22 hrs | [X] weeks | ~[X] years |
| Enterprise | 45% | 18 hrs | [X] weeks | ~[X] years |
| Large Bureaucracy | 35% | 14 hrs | [X] weeks | ~[X] years |
Overhead Assumptions:
Senior Full-Stack Developer Rates (2025):
Recommended Rate for This Project: $[X]/hour
Rationale: This project requires specialized macOS development skills (CoreMediaIO, Metal, system extensions) which command premium rates.
| Scenario | Hourly Rate | Total Hours | Total Cost |
|---|---|---|---|
| Low-end | $[X] | [hours] | $[X,XXX] |
| Average | $[X] | [hours] | $[X,XXX] |
| High-end | $[X] | [hours] | $[X,XXX] |
Recommended Estimate (Engineering Only): $[X,XXX] - $[X,XXX]
| Company Stage | Team Multiplier | Engineering Cost | Full Team Cost |
|---|---|---|---|
| Solo/Founder | 1.0× | $[X] | $[X] |
| Lean Startup | 1.45× | $[X] | $[X] |
| Growth Company | 2.2× | $[X] | $[X] |
| Enterprise | 2.65× | $[X] | $[X] |
Role Breakdown (Growth Company Example):
| Role | Hours | Rate | Cost |
|---|---|---|---|
| Engineering | [X] hrs | $[X]/hr | $[X] |
| Product Management | [X] hrs | $[X]/hr | $[X] |
| UX/UI Design | [X] hrs | $[X]/hr | $[X] |
| Engineering Management | [X] hrs | $[X]/hr | $[X] |
| QA/Testing | [X] hrs | $[X]/hr | $[X] |
| Project Management | [X] hrs | $[X]/hr | $[X] |
| Technical Writing | [X] hrs | $[X]/hr | $[X] |
| DevOps/Platform | [X] hrs | $[X]/hr | $[X] |
| TOTAL | [X] hrs | $[X] |
| Metric | Solo | Lean Startup | Growth Co | Enterprise |
|---|---|---|---|---|
| Calendar Time | [X] | [X] | [X] | [X] |
| Total Human Hours | [X] | [X] | [X] | [X] |
| Total Cost | $[X] | $[X] | $[X] | $[X] |
Estimated time savings with Claude Code: [X]% Effective hourly rate with AI assistance: ~$[X]/hour equivalent productivity
This is the most important metric for understanding AI-assisted development efficiency. It answers: "What did each hour of Claude's actual working time produce?"
Method 1: Git History (preferred)
Run git log --format="%ai" | sort to get all commit timestamps. Then:
Session Duration Heuristics:
Method 2: File Modification Timestamps (no git)
Use find . -name "*.ts" -o -name "*.swift" -o -name "*.py" | xargs stat -f "%Sm" | sort to get file mod times. Apply same session clustering logic.
Method 3: Fallback Estimate
If no reliable timestamps, estimate from lines of code:
Value per Claude Hour = Total Code Value (from Step 5) ÷ Estimated Claude Active Hours
Calculate across scenarios:
| Code Value Scenario | Claude Hours (est.) | Value per Claude Hour |
|---|---|---|
| Engineering only (avg) | [X] hrs | $[X,XXX]/hr |
| Full team equivalent (Growth Co) | [X] hrs | $[X,XXX]/hr |
| Full team equivalent (Enterprise) | [X] hrs | $[X,XXX]/hr |
Speed Multiplier:
Speed Multiplier = Human Dev Hours ÷ Claude Active Hours
Example: If a human would need 500 hours but Claude did it in 20 hours → 25× faster
Cost Efficiency:
Human Cost = Human Hours × $150/hr
Claude Cost = Subscription ($20-200/month) + API costs (estimate from project size)
Savings = Human Cost - Claude Cost
ROI = Savings ÷ Claude Cost
Add this section to the final report:
Project Timeline:
Claude Active Hours Estimate:
Value per Claude Hour:
| Value Basis | Total Value | Claude Hours | $/Claude Hour |
|---|---|---|---|
| Engineering only | $[X] | [X] hrs | $[X,XXX]/Claude hr |
| Full team (Growth Co) | $[X] | [X] hrs | $[X,XXX]/Claude hr |
Speed vs. Human Developer:
Cost Comparison:
The headline number: Claude worked for approximately [X] hours and produced the equivalent of $[X] in professional development value — roughly $[X,XXX] per Claude hour.
Present the estimate in a clear, professional format suitable for sharing with stakeholders. Include confidence intervals and key assumptions. Highlight areas of highest complexity that drive cost.