You hired 40 engineers to go faster. You're going slower.
The debt you shipped to get here is now the ceiling on how fast you can move.
McKinsey research found that technical debt consumes 20–40% of the value of a company's entire technology estate. At scale-up stage, that's no longer a code quality conversation - it's a velocity and budget conversation.
Source: McKinsey, "Demystifying digital dark matter: A new standard to tame technical debt," June 2022.
Where the velocity went
30% of what you're spending on new product is actually going to debt.
McKinsey's 2022 research found that 30% of CIOs believe more than 20% of their technical budget ostensibly dedicated to new products is actually being consumed by technical debt resolution. At scale-up stage - when you're hiring fast and shipping fast - this budget diversion is invisible in sprint planning but visible in slipping roadmap timelines and increasing incident rates.
McKinsey, "Demystifying digital dark matter: A new standard to tame technical debt," June 2022.
Each engineer on your team loses 13.5 hours a week to debt. At 50 engineers, that's a hidden team of 16.
Stripe's Developer Coefficient study found developers spend an average of 13.5 hours per week on technical debt maintenance - roughly a third of their working week. At a 50-engineer org, that's the equivalent of 16 full-time engineers spending their entire working week on debt instead of product. The number doesn't improve as you hire - it compounds, because more engineers means more code, more debt surface area, and more coordination overhead.
Stripe, "The Developer Coefficient," 2018 (Harris Poll survey of 1,000+ developers).
Paying down debt frees 50% more engineer time. Most orgs never actually do it.
McKinsey's 2023 research found that paying down technical debt can free engineers to spend up to 50% more of their time on value-generating work. The obstacle isn't knowledge - engineering leaders know debt is slowing them down. The obstacle is that debt reduction requires sprint allocation, which competes directly with roadmap commitments. Hyrax removes that constraint: it works through the backlog continuously without occupying sprint capacity.
McKinsey, "Breaking technical debt's vicious cycle to modernize your business," April 2023.
How Hyrax addresses each
Budget recovered from debt
- -Hyrax works through security and code quality debt continuously - findings execute as PRs without sprint allocation
- -Debt reduction is measurable: track finding volume, closure rate, and backlog trend week over week
- -Every closed finding generates a governance rule - the same class of issue stops reintroducing as the team grows
Dev time returned to product
- -Engineers review and merge Hyrax's PRs - they don't triage, research, or implement security fixes
- -The 13.5-hour/week debt burden decreases as Hyrax's Improve workflow closes what's accumulated
- -New hires onboard into a codebase that Hyrax is actively cleaning - ramp time drops
Debt reduction without sprint trade-offs
- -No rule authoring sprint, no pre-tuning phase - Hyrax starts executing from the first scan
- -Governance rules self-generate from your codebase's observed failure modes and update as code evolves
- -Compute cost scales with finding volume, not headcount - no per-seat pricing as you hire
Where the velocity went - and what Hyrax returns
Velocity Recovery Map
| Velocity drain | At 50 engineers | With Hyrax |
|---|---|---|
| Security finding triage | Each finding requires engineer assignment, context switch, sprint ticket | Findings execute autonomously - no sprint ticket, no triage |
| Accumulated debt | 13.5 hrs/week per engineer on debt (Stripe, 2018) - 675 hrs/week at 50 engineers | Continuous execution reduces backlog without sprint allocation |
| Onboarding ramp | New hires navigate undocumented debt and security landmines in unfamiliar code | Hyrax's Discovery workflow documents the codebase; Improve cleans it continuously |
| Recurring issue classes | Same vulnerability pattern reintroduced by different engineers | Governance rules prevent recurrence - pattern fixed once, stays fixed |
| Deployment confidence | Security checks surface issues at PR time, after code is written | Continuous scanning catches issues at introduction - PR gate is a confirmation, not a surprise |
Frequently asked questions
Yes. Hyrax's Improve workflow is specifically designed for accumulated backlog - it prioritizes by severity and works through findings in batches without sprint allocation. It starts on day one. The backlog decreases continuously in the background while your team ships forward.
The head of security owns risk posture, governance rules, and AppSec strategy. Hyrax handles execution. Your new security lead sets the rules; Hyrax closes the findings they surface. It removes the gap between "we have a security strategy" and "we're actually executing against it."
Those are detection tools. Hyrax is the remediation layer. At scale-up stage, you likely need both: a scanner for comprehensive detection coverage and Hyrax to close what the scanner surfaces. If your scanner findings are waiting for sprint allocation, Hyrax addresses that directly.
Hyrax runs as a GitHub App alongside your existing pipeline - it doesn't add steps to CI/CD. It opens PRs; your pipeline runs on those PRs exactly as it does on human-authored PRs. Scan and execution happen asynchronously, not in the critical path.
Track: (1) time from finding introduction to merged fix, (2) sprint percentage allocated to security and debt remediation before and after, (3) change failure rate trend. All three are derivable from your PR history and Linear ticket data without additional instrumentation.
Get back to the velocity you had at 10 engineers.