Polaris is your
reasoning engine.
Stop searching. Start asking. Polaris indexes your entire repository, understands dependencies, and validates every answer by running real tests in a secure sandbox.
Semantic Indexing
We don't just grep strings. We build a full dependency graph (AST) of your codebase to understand how functions, classes, and services interact.
Sandboxed Execution
When you ask 'What happens if I change this?', Polaris spins up an ephemeral Docker container, applies the change, and reports the actual side effects.
Verified Answers
LLMs hallucinate. Polaris proves. It generates test cases for its own answers and only shows you the solution if the tests pass.
What you can do with it.
Polaris sits between your project management tools and your codebase — the connective tissue no one else owns.
Ticket Intelligence
The connective tissue between your PM tools and your codebase.
Jira doesn't know what your code does. GitHub doesn't know what your tickets mean. Polaris sits in between — translating vague tickets into properly scoped engineering work, attaching file-level starting points, and writing post-mortem summaries when tickets close.
components/Dashboard.tsx:142, hooks/useMetrics.ts:67PERF-891 PERF-1204 (similar symptoms different root cause)Change Confidence Score
"Should I ship this?" — answered before you open a PR.
Run polaris check and get back not just "what breaks" but a confidence score with a recommendation. You're not replacing code review — you're eliminating the class of PRs that should never have been opened. The simulation layer is what makes the score credible — Polaris actually ran the tests.
Onboarding Intelligence
"First Week" mode — the most painful problem in engineering, solved.
A new engineer joins and wastes their first 2-3 weeks figuring out how the codebase is structured. Every company does this terribly. Polaris generates a personalized onboarding map based on which part of the codebase they'll actually work in. Not generic docs — a living, queryable guide generated from the actual codebase state right now.
Decision History
Code tells you what. Git tells you when. Nothing tells you why.
Polaris ingests Slack threads, PR comments, RFC documents, and Confluence pages alongside the codebase. When you ask "why was this decision made?", you get the full story — not just the code. This is completely unsolved. Sourcegraph doesn't do it. Linear doesn't do it. It requires connecting systems nobody has connected.
PR #891Set after the March incident. Original limit was 500.Slack @sarah"500 caused a cascade failure in the payment service during peak load" — March 14thCodeTODO in api/rate_limiter.ts line 47 — revisit when payment service is refactoredRFC-12Rate limiting strategy doc — approved Q1, author: @jamesRegression Archaeology
"Has this broken before?" — answered in 5 seconds, not 30 minutes.
When a bug comes in, the first thing a senior engineer does is check: have we seen this before? They dig through Slack, old tickets, git blame. It takes 30 minutes. Polaris does it in 5 seconds. You're building institutional memory that survives people leaving the company.
BUG-1204 (8 months ago) — same error, different cause: nginx configFixed by @mike in PR #445
BUG-891 (14 months ago) — S3 bucket policy was too restrictiveFixed by @sarah in PR #312
INCIDENT-03 (2 years ago) — body-parser default limit hit in prodPost-mortem: incident-03-review.md
Context Briefing
"What changed since I was last here?" — your daily driver.
Engineers context-switch constantly. They leave a feature for 2 weeks to fix something urgent, then come back. Reconstructing context wastes hours. Polaris gives you a returning context briefing that makes you productive in minutes. This is what makes engineers open Polaris every single morning.