$85B
annual cost of technical debt to the US software industry
The cost of the shortcuts taken to ship faster. Interest paid on engineering decisions that seemed right at the time.
Source: Stripe Developer Coefficient Report
Tech companies slowed down by the technical debt they accumulated building fast.
$85B
annual cost of technical debt to the US software industry
The cost of the shortcuts taken to ship faster. Interest paid on engineering decisions that seemed right at the time.
Source: Stripe Developer Coefficient Report
23%
slower feature development velocity in companies with high technical debt versus low technical debt
Technical debt does not just slow things down — it compounds. Every new feature built on an unstable foundation costs more than the last.
Source: Engineering Productivity Research
60%
of CTOs cite legacy architecture as the primary barrier to AI and cloud adoption
The companies that need AI and cloud capability the most are the ones whose architecture makes it hardest to adopt.
Source: Technology Leadership Survey, 2024
THE PROBLEM
The product was built in six months during a seed round and it was the right call at the time. Now the company has 50,000 users, a series B, and an engineering team that dreads Mondays because the deployment pipeline breaks at least once a week. The architecture that worked for 1,000 users does not work for 50,000. Every new feature takes three times as long as it should because it requires touching code that nobody fully understands. The CTO wants to move to microservices and adopt AI capabilities but the monolith does not allow it. And the backlog of technical debt — the stuff that was going to be fixed after the last launch — is growing faster than it is being addressed.
Architecture built for an earlier, smaller version of the product — a ceiling on scale and velocity
Technical debt compounding — every feature taking longer and costing more than the last
Deployment pipeline unstable — engineering confidence eroded by unpredictable releases
Legacy monolith blocking AI and cloud adoption — strategic roadmap constrained by architectural decisions made in year one
System Diagnostic
Architecture built for an earlier, smaller version of the product
CRITICALTechnical debt compounding
CRITICALDeployment pipeline unstable
WARNINGLegacy monolith blocking AI and cloud adoption
LEGACY// Every day without action compounds the cost.
BY THE NUMBERS
$85B
annual cost of technical debt to the US software industry
The cost of the shortcuts taken to ship faster. Interest paid on engineering decisions that seemed right at the time.
23%
slower feature development velocity in companies with high technical debt versus low technical debt
Technical debt does not just slow things down — it compounds. Every new feature built on an unstable foundation costs more than the last.
60%
of CTOs cite legacy architecture as the primary barrier to AI and cloud adoption
The companies that need AI and cloud capability the most are the ones whose architecture makes it hardest to adopt.
42%
of developer time spent managing technical debt rather than building new features
HOW WE REDEFINE IT
We assess the debt before we prescribe the solution. Not everything needs to be rebuilt — some things need to be untangled, some need to be replaced, and some are actually fine. We identify what is slowing the team down most, prioritize by impact and risk, and start there. Incremental migration to modern architecture. Deployment pipeline that engineers trust. The foundations that make AI and cloud adoption possible. And we do it while the product keeps shipping — because for a SaaS company, stopping is not an option.
Without Devpth
Architecture from year one limiting the scale the product now needs to support
42% of developer time on technical debt — shipping new features taking three times what it should
Deployment pipeline breaking weekly — engineering morale and velocity both suffering
AI and cloud adoption blocked by architectural constraints — strategic roadmap stalled
With Devpth
Modern scalable architecture — built for the product as it is, not as it was two years ago
Technical debt reduced to a manageable level — developer velocity restored and compounding positively
Stable, automated deployment pipeline — engineers shipping with confidence, not anxiety
Architecture that enables AI and cloud capability — strategic roadmap unblocked
WHAT WE BRING TO TECHNOLOGY & SAAS
DEVPTH ENGINEERING FOR TECHNOLOGY & SAAS
This is a pattern we are built to solve — not a case history. Tell us where technology & saas breaks for you, and we will map what better looks like.
We do not have a packaged product for Technology & SaaS yet — we engineer this as a services engagement, built around your systems.
REDEFINE ENGINEERING
Tell us what your architecture cannot support today that your roadmap requires tomorrow. We will engineer the path.
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