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The Product OS for engineering teams. Glue does the work. You make the calls.

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0.0How It Works

From repo to answers in 5 minutes.

The cost -- before Glue

30m

per question

senior engineer time

6

tools to check

none talk to each other

3mo

to onboard

new hire ramp time

$62K

per year

lost to context-switching

Your team answers the same questions every week.

01

Step 01

Connect & Index

Your repo is parsed in under 2 minutes.

Stella detects your repo language and dispatches the right parser. TypeScript and Java get full semantic extraction — type resolution, call graphs, route mapping. Python gets AST + framework-aware analysis.

~68K

symbols extracted

~92K

call relationships

app.glue.tools
Flowpay/Architecture

Architecture Map

Flowpay

Next.jsJavaPostgreSQLRedisStripeDocker
Frontend

Checkout

Dashboard

Admin

API Gateway

REST API

Webhooks

Auth

Core Services

Payments

Invoicing

Refunds

Onboarding

Rate Limit

FIG. 01 — live dependency graph

02

FIG. 02 — feature cluster map

Step 02

Product Graph

Scattered code becomes named features.

Louvain community detection groups tightly-connected code into clusters. Infrastructure noise is filtered out. Each cluster gets a name from an LLM — “Checkout Flow”, “User Auth” — and is organized into modules.

93%

file coverage

99%

route coverage

Louvain

clustering

LLM

feature naming

03

Step 03

Ask Anything

One question. Full context. Every time.

The Q&A agent queries the Product Graph, traces call chains, and returns answers citing specific files and line numbers — in seconds.

Debug production issues with exact file:line references

Understand unfamiliar code without reading it

Onboard new hires in days, not months

Scope tickets before estimation

glue — ask
glue ask>"Why did checkout errors spike?"

→Traced to: src/checkout/payment.ts:142

→Root cause: null check removed in PR #847

→Impact: 3.2x error rate, 12% checkout drop

→Related: JIRA-2341 (open, unassigned)

glue ask>

FIG. 03 — live Q&A trace

Who uses it

The same graph. Four different jobs.

One index. Every role gets what they need from the same Product Graph.

Engineers

“Why is this broken and who changed it?”

Trace call chains to root cause. Understand unfamiliar code without interrupting teammates.

Engineering Managers

“How complex is this ticket really?”

Scope work before sprint planning. See blast radius before approving refactors.

Product Managers

“How does the referral flow actually work?”

Ask in plain English. Get structural answers with file references — no code reading required.

New Hires

“Where do I even start?”

Full codebase context from day one. First PR without asking anyone.

Security

Your code. Your key. Your control.

You bring your own Anthropic API key. Code goes from Glue to Anthropic directly — we never see your prompts.

Feature-scoped

LLM sees 50 files max per call. Never your full codebase at once.

Encrypted, deletable

Source deleted on disconnect. Only the graph persists after that.

Read-only access

GitHub tokens AES-256-GCM encrypted. Zero write permissions.

Maker-checker

Every agent output requires your approval before it applies.

What you can do

Built on the same graph.

Generate docs

Workflow docs with file:line citations, always current.

Triage tickets

Maps tickets to affected files, generates specs.

Query Sentry errors

Analyze errors through Glue, linked to code.

Custom agents

25-turn Claude loops across 5 integrations.

Questions

Connect your repo. Get answers in minutes.

Connect your first repoWatch the demo

Free on Starter. Read-only access. First answers in seconds.