FEATURE
Query in Human Language

Query your delivery pipeline in human language

Warestack lets you query your entire delivery pipeline in natural language. Ask questions about PRs, deployments, incidents, and team patterns—and get instant, context-aware answers.

Are you a decision maker?
Are you a CXO?
Are you a QA engineer?

Understand where things went wrong

Build a deterministic query using natural language.

Send to CXO
Need PRs modified auth/ and secrets/

PROMPT IT

List PRs where files under auth/ or secrets/ were changed in the past month.

Two PRs modified files under auth/ and secrets/ in the past month. Both were updated by code owner Mary for routine security config changes. Review as needed.

#PR50 · chore: update dependencies and clean build scripts

AuthorMary
Merged18/10/2025
core-api

#PR50 · refactor: simplify API response handling

AuthorMary
Merged16/10/2025
core-api

Schedule a monthly report delivery.

Prompt, get alerted or schedule it
1

Access your data instantly

Explore normalized GitHub, Slack, and Jira data in one place, query anything from pull requests to deployment events without writing complex joins.

2

Receive smart alerts

Stay ahead with real-time alerts for risky patterns, delayed reviews, or compliance violations, all triggered automatically by your active checks.

3

Extract LLM-based reports

Generate natural-language summaries or deep analytics directly from your operational data. Warestack turns your prompts into structured, explainable insights.

4

Schedule automatic analyses

Automate recurring queries and reports. Fine-tune frequency and scope so your team gets continuous, up-to-date intelligence without manual effort.

Warestack provides 50+ enterprise-ready protection rules, available in one click.Read more →

Frequently asked questions

Warestack aggregates and normalizes operational data across your engineering ecosystem — GitHub, Slack, Linear, Jira, and more. You can query everything from pull requests and deployment events to discussion threads, commits, and security rule violations — all in one schema.

Instead of manually digging through each platform, you can write a single prompt like:
"List PRs where files under infra/ were modified and the build failed."
The system will automatically correlate data from multiple sources and return structured, timestamped insights that can be exported or reused in audits.

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