Of docs outdated every 3 months
46%+Your product ships weekly. Your help center updates quarterly, so nearly half of your docs are already wrong when customers read them.
Use Cases
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Zipchat Code connects to your GitHub repos and databases. Ask any question in plain English — get an accurate, sourced answer in seconds. No hallucinations. No ticket queues.
⚠ Traditional support
✦ Zipchat Code


































Your team ships the product every day. Zipchat Code keeps support in sync with every commit. No more "I'll check with engineering."
Of docs outdated every 3 months
46%+Your product ships weekly. Your help center updates quarterly, so nearly half of your docs are already wrong when customers read them.
To answer a "simple" query
15 min+A basic "how does this work?" question means digging through GitHub, Jira, and Slack threads, turning a 30-second answer into a 15-minute hunt.
Of tickets escalated to engineering
57%+Over half of technical tickets bypass frontline support and land on engineers, slowing replies and stealing time from shipping product.
Four steps from zero to an AI that knows your entire codebase and answers questions with source citations.
Give Zipchat Code read-only access to your repos and, optionally, your database for account-specific answers. No SDKs or agents to install.
On every push we update an index of your code, configs, PRs and schemas, so answers always match what is actually in production.
The same AI answers from your site widget, support email, WhatsApp, Instagram, and Messenger, as well as Slack and your internal tools.
Replies include the exact file, line and commit, and can reference live account data, so most questions are solved without engineering getting involved.
SOC 2 Type II in progress. Your code is never used for training. All data encrypted at rest (AES-256) and in transit (TLS 1.3). Scoped API keys, SSO/SAML, audit logs, and self-hosted deployment on Enterprise.
Support, sales, onboarding, and internal teams all get instant answers from your live codebase.
⚠ Without Zipchat Code
✦ With Zipchat Code
⚠ Without Zipchat Code
✦ With Zipchat Code
⚠ Without Zipchat Code
✦ With Zipchat Code
⚠ Without Zipchat Code
✦ With Zipchat Code
⚠ Without Zipchat Code
✦ With Zipchat Code
| Capability | Zipchat CodeRecommendedAI with codebase access | Without Zipchat CodeTraditional support |
|---|---|---|
| Knowledge & accuracy | ||
| Source of truth | Exact file, line & commit | Whoever happens to remember |
| Answer accuracy | 96%+ from live codebase | Varies; often guesswork |
| Doc freshness | Always in sync with every push | Drifts out of sync constantly |
| Speed & escalation | ||
| Response time | < 10 seconds | 15 min to 24 hours |
| Engineering escalation | 87% fewer tickets to engineering | Over 57% of tickets escalated |
| Sales confidence | Answered live on the call | "Let me confirm…" kills momentum |
| Team & onboarding | ||
| New hire ramp-up | Query the codebase on day one | Interrupts senior engineers |
| Non-technical access | ✓ | ✕ |
| Setup time | Under 20 minutes | Days to weeks |
Measured across support, onboarding, and internal teams in the first 90 days.
When we built Zipchat AI, our own support and sales team kept asking the same question: "does our product do X?" — and the answer was always buried in a GitHub file nobody could find fast enough.
We tried Notion wikis. Gitbook. Tagging senior devs in Slack. None of it worked — the knowledge lived in the code, not the docs, and docs always lagged behind. So we built the tool we wished existed.
"Your knowledge base is already wrong. Your code is always right."
# Q: "Why is my chatbot not responding to shipping questions?" → Reading app/services/ai/response_generator.rb... → Querying chatbot_configs WHERE merchant_id=2847... → Reading app/models/knowledge_source.rb... ✓ Found it: Your "Shipping & Returns" knowledge source is set to draft. Go to Dashboard → Knowledge → Shipping & Returns → click "Publish".
Stop being the team's human search engine. Point teammates at Zipchat Code and get your deep-work hours back. Instant code navigation, faster debugging, zero-interruption onboarding.
Answer technical questions on the spot. No more "I'll get back to you" — resolve L2/L3 tickets without escalating, with consistent sourced answers across the whole team.
Answer "does your product support X?" live on a call. Technical RFP responses in minutes. Real answers, not marketing language. Keep engineering out of the sales cycle entirely.
Understand your own product without decoding code. Changelog summaries from real commits, feature flag visibility, and no-code access to everything your engineers know.
No. Your code is never used to train any model, including ours. All indexing and inference happens in an isolated environment scoped to your organization. SOC 2 Type II audit in progress. Self-hosted deployment available on Enterprise so your code never leaves your infrastructure.
Zipchat Code uses RAG — the model only answers from code and documentation actually retrieved from your repo. If the answer isn't in your codebase, it says so rather than guessing. Every answer includes a citation to the source file, line number, and commit.
All major languages: JavaScript/TypeScript, Python, Ruby, Go, Java, PHP, Rust, C#, and more. Framework-specific understanding (Rails, Django, Next.js, Laravel, Spring, etc.) is built in. Markdown, YAML, and SQL are also indexed.
Initial indexing of a typical 50K-line codebase takes 3–8 minutes. Incremental updates triggered by webhooks complete in under 30 seconds per push. Large monorepos (500K+ lines) complete within 20–40 minutes the first time.
Yes. We use GitHub/GitLab/Bitbucket OAuth with read-only scope. Private repos are indexed in your isolated tenant — no cross-contamination between organizations. Access control mirrors your existing repo permissions.
Absolutely — that's one of the main use cases. Support agents, salespeople, and product managers ask questions in plain English and get plain-English answers. Citations are there for those who want to verify, but the answer stands on its own.
Tell us a bit about yourself — we'll reach out within 24 hours.
This helps us tailor the onboarding to your use case.
How many engineers on your team?
How does your team currently find answers about your codebase?
Biggest pain point?
Almost done. This helps us prioritize integrations.
We'll reach out shortly to get you set up. Keep an eye on your inbox.