Glue

AI codebase intelligence for product teams. See your product without reading code.

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BENEFITS

Why Glue

The measurable impact of product intelligence on product teams. Faster scoping, fewer surprises, better decisions.

8sto answer any product question
0-100%competitive coverage scoring
95%file accuracy in specs
CAPABILITIES

Measurable impact, day one

Every capability is designed to save your team time, reduce risk, and improve decisions.

Answer any product question in seconds

"Do we have single sign-on?" "How does the billing flow work?" "Who owns the notifications module?" Today, these questions take days and interrupt your best engineers. With Glue, you ask in plain English and get answers grounded in actual code — in 8 seconds.

See your competitive position instantly

Competitive analysis today is a spreadsheet disconnected from your codebase. You can't tell what you already have vs. what you'd need to build. Glue's Gap Atlas researches competitor features and scores each one against your actual code coverage (0-100%).

Write specs that don't cause rework

70% of project failures trace back to requirements issues. Your specs miss hidden dependencies because you can't see the code. Glue generates specs from your actual architecture — with the exact files affected, existing patterns to follow, and risks flagged upfront.

Know your risk before it becomes a crisis

When a senior engineer leaves, the team's efficiency drops 48% for six months. But you don't know which modules are at risk until it happens. Glue continuously maps who knows what, where knowledge is concentrated, and which files have a bus factor of one.

Onboard engineers in weeks, not months

New developers take 3-6 months to be productive. They spend weeks getting environments operational and reading outdated docs. With Glue, new hires explore the codebase through Chat from day one — cutting ramp time by 4x.

Answer any product question in seconds
THE NUMBERS

The numbers behind the pain

$109M

wasted per $1B invested

Organizations waste $109 million per $1 billion spent on failed projects.

Source: PMI

70%

of failures trace to requirements

Most failures start with specs that miss technical reality. Better specs = fewer failures.

Source: Fohlio 2024

52%

of PM time is firefighting

More than half of PM time goes to chasing information, not strategic work.

Source: Pragmatic Institute

17 hrs/wk

on maintenance toil

Developers spend 17 hours per week on debugging, refactoring, and understanding existing code.

Source: Stripe

3.8/10

competitive selling self-rating

Teams rate themselves 3.8/10 on competitive selling, costing $2-10M/year in winnable deals.

Source: Crayon 2024

66%

of projects have cost overruns

Two-thirds of enterprise software projects exceed budget.

Source: McKinsey

DETAILS

Every benefit, detailed

[ 01 ]

8 seconds to answer

vs. 2-3 days of asking engineers and waiting for context.

[ 02 ]

No code required

Ask questions in plain English. Get answers with file references you can share.

[ 03 ]

Always current

Answers come from your live codebase, not outdated documentation or tribal knowledge.

[ 04 ]

Automated gap detection

AI researches competitor features from public sources and maps them to your codebase.

[ 05 ]

Coverage scoring

Every gap scored 0-100% against what your code actually has — not what someone remembers.

[ 06 ]

Build-effort context

Know not just what's missing, but how hard it would be to build — before committing to the roadmap.

[ 07 ]

95% file accuracy

Every spec names the exact files that need to change. No more 'we didn't realize this would touch payments.'

[ 08 ]

Dependency-aware

Hidden dependencies surfaced before anyone estimates, not after the sprint is half over.

[ 09 ]

Pattern-matching

Plans follow your team's existing code conventions, not generic best practices.

[ 10 ]

Knowledge risk maps

See which modules depend on a single person — before they give notice.

[ 11 ]

Expertise distribution

Understand team strengths across features, languages, and system layers.

[ 12 ]

Code health scoring

Hotspots, complexity, and churn scored per file. Know where tech debt lives and what it costs.

[ 13 ]

Self-serve codebase exploration

New engineers ask the codebase directly instead of interrupting your senior staff.

[ 14 ]

Living documentation

Feature discovery and code intelligence update automatically as the code changes.

[ 15 ]

$240K saved per hire

Eliminate the negative-value onboarding period that costs $240K per failed senior hire.

Faster scoping. Fewer surprises. Better decisions.

Works with any GitHub codebase. Setup in 2 minutes.