WHY NOW

The cost of not understanding your codebase.

Every week without visibility costs you time, money, and competitive ground. Here's the math.

8squestion to answer

95%file accuracy in specs

93%faster scoping

Capabilities

What changes on day one

Every capability is measured. Every claim has a source.

8 seconds vs. 2-3 days.

"Do we have SSO?" "How does billing work?" "Who owns notifications?" Today: Slack thread → engineer interruption → 2-3 day wait → maybe an answer. With Glue: type the question, get a code-grounded answer in 8 seconds. With file references.

8s average response— Code-grounded answers, not guesses. File references included.

Zero interruptions— Engineers keep their 23-minute focus blocks. PMs get instant answers.

Always current— Answers from live code, not stale docs or someone's memory.

Know your competitive position before you're blindsided.

A customer reports a competitor feature you don't have. Today: days of research, pulling engineers off work, still no clear answer. With Glue: Gap Atlas already tracked it. Coverage scored. Evidence mapped to your code. You respond in days, not weeks.

0-100% coverage scoring— Every competitor feature scored against what your code actually has.

Build-effort included— Know how hard each gap is to close before committing.

$2-10M/year at stake— Teams rate competitive selling 3.8/10. Silence is expensive.

Know your competitive position before you're blindsided.

Specs that engineers actually trust.

70% of project failures trace to requirements. Not bad engineers — bad specs. Specs written without code context miss dependencies, ignore patterns, cause rework. Glue generates specs from your architecture. Exact files. Real patterns. Risks flagged before anyone estimates.

95% file accuracy— Specs name the exact files. No more 'we didn't realize this would touch payments.'

Dependency-aware— Hidden dependencies surfaced before the sprint, not during.

Pattern-matching— Plans follow your team's conventions, not generic advice.

See knowledge risk before it walks out the door.

When a senior engineer leaves, team efficiency drops 48% for six months. But you don't know which modules are at risk until the exit interview. Glue maps who knows what, continuously. Bus factor of 1 → visible today, not after the resignation.

Bus factor alerts— Modules depending on a single person — flagged before they give notice.

Expertise map— Team strengths across features, languages, system layers. No guessing.

Code health scoring— Hotspots, complexity, churn — scored per file. Know where debt lives.

See knowledge risk before it walks out the door.

New engineers productive in weeks, not months.

3-6 months to full productivity. Weeks reading outdated docs. 'Just ask Sarah' as the onboarding plan. Glue cuts ramp time 4×. New hires explore the codebase through Chat from day one.

Self-serve exploration— Ask the codebase, not senior engineers. No interruptions required.

Living docs— Documentation updates as code changes. Never stale.

$240K saved per hire— Eliminate the negative-value onboarding period.

New engineers productive in weeks, not months.

The numbers

The numbers don't lie

$109M

wasted per $1B invested

Failed projects don't fail because of bad engineers. They fail because no one could see the code.

PMI

70%

of failures → requirements

Most project failures start with specs written without code context.

Fohlio 2024

17 hrs

per dev per week

Lost to maintenance and understanding toil. That's 42% of every engineer's time.

Stripe

52%

of PM time is firefighting

More than half of PM hours go to chasing information, not making decisions.

Pragmatic Institute

3.8/10

competitive selling score

Teams can't sell against what they can't see. The gap costs $2-10M/year in winnable deals.

Crayon 2024

66%

of projects exceed budget

Two-thirds. The common thread: no visibility into what the code actually does.

McKinsey

Details

The specifics

[ 01 ]

8s average response

Code-grounded answers, not guesses. File references included.

[ 02 ]

Zero interruptions

Engineers keep their 23-minute focus blocks. PMs get instant answers.

[ 03 ]

Always current

Answers from live code, not stale docs or someone's memory.

[ 04 ]

0-100% coverage scoring

Every competitor feature scored against what your code actually has.

[ 05 ]

Build-effort included

Know how hard each gap is to close before committing.

[ 06 ]

$2-10M/year at stake

Teams rate competitive selling 3.8/10. Silence is expensive.

[ 07 ]

95% file accuracy

Specs name the exact files. No more 'we didn't realize this would touch payments.'

[ 08 ]

Dependency-aware

Hidden dependencies surfaced before the sprint, not during.

[ 09 ]

Pattern-matching

Plans follow your team's conventions, not generic advice.

[ 10 ]

Bus factor alerts

Modules depending on a single person — flagged before they give notice.

[ 11 ]

Expertise map

Team strengths across features, languages, system layers. No guessing.

[ 12 ]

Code health scoring

Hotspots, complexity, churn — scored per file. Know where debt lives.

[ 13 ]

Self-serve exploration

Ask the codebase, not senior engineers. No interruptions required.

[ 14 ]

Living docs

Documentation updates as code changes. Never stale.

[ 15 ]

$240K saved per hire

Eliminate the negative-value onboarding period.

The hard questions.

No fluff. Just answers.

Every week without visibility costs you. Stop paying.

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