AI-native code review agent

AI code review that finds what your tests missed.

Your PRs reviewed.
Your issues triaged.
Your codebase moving.

SiftPulse is an autonomous AI agent that monitors your GitHub, GitLab, and Bitbucket around the clock — reviewing pull requests, routing issues by priority, writing structured feedback, and summarizing what's actually happening across all your repos.

GitHub + GitLab + Bitbucket
Try the inline-comment reviewer → Install free on GitHub Start free trial — $29/mo per repo

Join the launch waitlist

Get notified when we open general access.

Calculate your ROI → See it on GitHub →

Or run as a GitHub Action — no OAuth, no inbound webhooks. Uses GITHUB_TOKEN only.

Security & trust
4h+
saved per developer per week on review overhead
70%
reduction in mean time to first review comment
24/7
always-on — reviews happen the moment a PR opens
SiftPulse PR review demo
What the agents do

Every task that slows your team down,
handled automatically.

No scripts to configure. No rules to write. SiftPulse learns your codebase and your team's standards — then acts.

Autonomous PR Review

Agent reads every diff, checks logic, flags security issues, and posts structured review comments — without being asked. Works on all PRs, all the time.

Always on

Smart Issue Triage

Incoming issues are read, classified by type and severity, labeled, and routed to the right person — automatically, before anyone on your team has to touch them.

Smart routing

Reviewer Suggester

When a PR opens, the agent scans commit history and CODEOWNERS to rank the 2–3 best reviewers — with a one-line rationale for each. The right eyes on every PR, automatically.

Code ownership

Security Scanning

Scans dependency diffs for known CVEs and flags exposed secrets before they reach production. Same logic as your best security engineer — but never sleeping.

Proactive

Contextual Q&A

Ask anything about any PR, commit, or issue. The agent answers with full context — what changed, why it matters, what might break. Available in GitHub comments or Slack.

In context

Team Standards Engine

Train SiftPulse on your codebase's conventions. It learns your patterns, enforces your style, and adapts feedback to match how your team actually works.

Learns your way

Auto-drafted Release Notes

One click turns your merged PRs into a grouped, highlighted GitHub Release draft — features, fixes, and internal changes clustered automatically. Edit and publish when you're ready.

One click

PR TL;DR Summary

Every PR opens with a sticky "TL;DR" comment at the top — plain-English bullet summary, risk areas, files touched grouped by directory, and suggested reviewers. Edited in place on every push.

Every PR, auto

GitHub Action CI Pipeline

Run SiftPulse from your CI without OAuth. The GitHub Action uses GITHUB_TOKEN only — no org-level permissions, no inbound webhooks. Listed on the GitHub Actions Marketplace.

Zero OAuth
See it in action

PR open. Review posted.
No human intervention.

SiftPulse watches your repos continuously. The moment a PR lands, it reads the diff, understands the context, and writes a structured review — the kind you'd want from a careful senior engineer.

  • Reads diffs with full file-level context
  • Flags logic errors, security risks, and style violations
  • Explains reasoning in plain language, not just code comments
  • Answers follow-up questions in the PR thread
  • Tracks review latency and flags PRs that need attention
  • Integrates with GitHub, GitLab, Slack, and email
pull request #847 — feat/auth-refactor AI Review posted
src/services/auth.ts
42 export async function validateToken(token: string): Promise<boolean> {
43 + const secret = process.env.JWT_SECRET;
43 − const secret = getJwtSecret();
44 ! if (!secret) throw new Error('JWT_SECRET not set');
SP
SiftPulse Agent 2 min ago
Direct env access is fine here. However, consider wrapping process.env.JWT_SECRET in a helper to match how the rest of the codebase handles secrets. This keeps error messages consistent and makes it easier to mock in tests. See: src/utils/secrets.ts — the pattern is already established in getJwtSecret() for a reason.
src/middleware/authMiddleware.ts
18 + const token = req.headers['x-auth-token'] as string;
19 ! if (!token) return res.status(401).json({ error: 'Unauthorized' });
SP
SiftPulse Agent 2 min ago
Solid approach. One note: the error shape here differs from the standard { error: string } used in src/utils/response.ts. Suggest using formatError(401, 'Unauthorized') for consistency across the API surface. This helps consumers handle errors uniformly.
Live demo

Three findings. One PR. 38 seconds.

A real-world scenario: a developer opens a PR adding a password-reset endpoint. SiftPulse reads the diff, spots the missing input validation, the null-dereference edge case, and the absent test coverage — before a human reviewer ever clicks the link.

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Interactive demo

Try the PR reviewer — no signup required.

Paste any unified diff below, or pick a sample. Watch SiftPulse find the bugs before your team does.

Try a sample:
diff
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Results appear here after you run a review.

Issue triage demo

Try the issue triage agent — no signup required.

Paste an issue title and description, or pick a real example. Watch SiftPulse label, prioritize, and draft a response in seconds.

Try a real example:
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Triage results appear here.

Agents at work right now

Live agent activity

Every PR reviewed and issue triaged — in real time. This is the showcase repo running 24/7.

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4+
hours saved per developer per week on code review overhead
70%
faster mean time to first review comment on pull requests
3x
more issues closed in the first 24 hours of being opened
100%
of open source PRs reviewed, even when the team is heads-down
Live DORA data

Real DORA metrics from agent-reviewed PRs

Updated live. These are the actual numbers from deployments SiftPulse monitors — anonymized across all connected repos.

Deploy frequency
—
deploys / day
Lead time for changes
—
median hours, merge→deploy
Change failure rate
—
% of deploys that fail
MTTR
—
mean time to restore
last 30 days See how it works on your repo →
How it works

Connected in minutes.
Working by tonight.

No setup marathon. SiftPulse connects to your GitHub account and starts reviewing in the time it takes to drink a coffee.

01

Install the GitHub App

One-click install from the GitHub Marketplace. Select repos. That's it.

02

Agent reads your codebase

SiftPulse indexes your code, conventions, and patterns. The more it sees, the sharper the reviews.

03

Reviews go live instantly

Every new PR gets a structured AI review within minutes of opening. No waiting on maintainers.

04

You ship faster

Feedback loops shrink. Stale PRs disappear. Your team focuses on building, not reviewing.

What developers are saying
SiftPulse caught a memory leak in our gRPC connection pool before the PR merged. That bug would have cost us a 3am page. It's the first review tool that actually reads the logic, not just the style.
PM
Priya Menon
Staff Engineer · Convoy
We reduced review turnaround time by 40% in the first two weeks. Junior engineers get substantive feedback on every PR instead of waiting days for a senior to have a free slot.
MO
Marcus Osei
Engineering Lead · Ramp
The issue triage alone pays for itself. Every bug report lands pre-labeled with priority and a suggested assignee. Our on-call rotation is calmer than it's ever been.
DK
Daniela Kozlov
Senior Engineer · Watershed
Code review should feel like having a senior engineer who never gets tired, never goes on vacation, and reads every line the same way on Friday at 11pm as on Tuesday morning.
— The SiftPulse thesis, 2026