Surface Bugs that put revenue at risk

Your engineers spend up to 40% of their time investigating and fixing noisy bugs. LogicStar finds the ones that matter and proposes a fix.

Monthly
Annually (save 20%)
Starter
$400/per month
For small engineering teams starting to surface the bugs that matter most.
Get Started Free
Core product
Bugs surfaced per
month
20
Maximum number of high-impact bugs LogicStar surfaces each month after analyzing signals across your stack.
Projects monitored
1
A project represents one connected codebase monitored by LogicStar, typically a Git repository or monorepo. Customers can connect up to the number of projects included in their plan.
Signal sources
Up to 2 sources
Signal sources are the systems LogicStar analyzes to detect and prioritize bugs, such as Sentry, Datadog, Jira, Linear, Slack, customer reports, OKRs or Git repositories.
Autonomous fixes (add-on)
Available as add-on
Deployment & support
Deployment environment
Shared secure environment
Custom AI models
Support
Standard
Pro
White four-pointed star-like geometric shape on a dark blue background.
Most Popular
$ 400
$800/per month
For growing engineering teams managing multiple services.
Get Started Free
Core product
Bugs surfaced per
month
60
The number of bugs LogicStar identifies and surfaces each month after analyzing production signals and engineering activity across your stack.
Projects monitored
3
A project represents one connected codebase monitored by LogicStar, typically a Git repository or monorepo. Customers can connect up to the number of projects included in their plan.
Signal sources
Unlimited sources
Signal sources are the systems LogicStar analyzes to detect and prioritize bugs, such as Sentry, Datadog, Jira, Linear, Slack, customer reports, OKRs or Git repositories.
Autonomous fixes (add-on)
Available as add-on
Deployment & support
Deployment environment
Shared secure environment
Custom AI models
Support
Priority
Enterprise
Talk to Sales
Full scale deployment for security, scale, and compliance.
Talk to an Expert
Core product
Bugs surfaced per
month
Custom
Maximum number of high-impact bugs LogicStar surfaces each month after analyzing signals across your stack.
Projects monitored
Custom
Enterprise plans support large numbers of projects and complex monorepo structures.
Signal sources
Standard + custom integrations
Signal sources are the systems LogicStar analyzes to detect and prioritize bugs, such as Sentry, Datadog, Jira, Linear, Slack, customer reports, OKRs or Git repositories.
Autonomous fixes (add-on)
Included
Deployment & support
Deployment environment
Dedicated VPC instance
Custom AI models
Support
SLA support + onboarding
Starter
$160/mo,
billed yearly
For small engineering teams starting to surface the bugs that matter most.

Get Started Free
Core product
Bugs surfaced per
month
20
Maximum number of high-impact bugs LogicStar surfaces each month after analyzing signals across your stack.
Projects monitored
1
A project represents one connected codebase monitored by LogicStar, typically a Git repository or monorepo. Customers can connect up to the number of projects included in their plan.
Signal sources
Up to 2 sources
Signal sources are the systems LogicStar analyzes to detect and prioritize bugs, such as Sentry, Datadog, Jira, Linear, Slack, customer reports, OKRs or Git repositories.
Autonomous fixes (add-on)
Available as add-on
Deployment & support
Deployment environment
Shared secure environment
Custom AI models
Support
Standard
Pro
White four-pointed star-like geometric shape on a dark blue background.
Most Popular
$320 /mo,
billed yearly
For growing engineering teams managing multiple services.
Get Started Free
Core product
Bugs surfaced per
month
60
The number of bugs LogicStar identifies and surfaces each month after analyzing production signals and engineering activity across your stack.
Projects monitored
3
A project represents one connected codebase monitored by LogicStar, typically a Git repository or monorepo. Customers can connect up to the number of projects included in their plan.
Signal sources
Unlimited sources
Signal sources are the systems LogicStar analyzes to detect and prioritize bugs, such as Sentry, Datadog, Jira, Linear, Slack, customer reports, OKRs or Git repositories.
Autonomous fixes (add-on)
Available as add-on
Deployment & support
Deployment environment
Shared secure environment
Custom AI models
Support
Priority
Enterprise
20% Discount
Talk to Sales
Full scale deployment for security, scale, and compliance.
Talk to an Expert
Core product
Bugs surfaced per
month
Custom
Maximum number of high-impact bugs LogicStar surfaces each month after analyzing signals across your stack.
Projects monitored
Custom
Enterprise plans support large numbers of projects and complex monorepo structures.
Signal sources
Standard + custom integrations
Signal sources are the systems LogicStar analyzes to detect and prioritize bugs, such as Sentry, Datadog, Jira, Linear, Slack, customer reports, OKRs or Git repositories.
Autonomous fixes (add-on)
Included
Deployment & support
Deployment environment
Dedicated VPC instance
Custom AI models
Support
SLA support + onboarding

How Logicstar Helps Your Team

Cross-Signal Prioritization

Correlate signals from Sentry, Jira, Slack, Git

AI Automatic Fixes

Generates validated PRs, tests, and repro scripts

Custom Triage Rules

Define or infer team preferences and rules

Evidence-Based Bug Ranking

Prioritize bugs by impact, frequency, criticality

Fully tested PRs

Most pull requests come with 100% test coverage and pass static verification.

Deployment & Security

VPC, Custom LLMs, Compliance

How Logicstar Helps Your Team

What counts as a project?

A project is one connected codebase or a logical part of a larger codebase monitored by LogicStar.

 For monorepos, a project typically represents a service or ownership area within the system, not the entire repository.

What programming languages does Logic Star support?

We support Python, Java, JavaScript, TypeScript, Go, C++, and Terraform. New languages are added rapidly based on your request, so share your needs with us at support@logicstar.ai

How does LogicStar decide what to fix next?

LogicStar analyzes signals across your systems and correlates them to identify real defects, then ranks bugs based on business impact, affected users, and recurrence.

Instead of severity alone, bugs are prioritized by what actually impacts customers and revenue.

Which signals can LogicStar analyze?

LogicStar analyzes signals from your existing tools, including observability platforms (such as Sentry or Datadog), issue trackers (Jira, Linear), source control (Git), communication tools (Slack), and customer reports.

It connects these signals to surface and investigate the bugs that matter most.

How does AI automatic fixing work?

LogicStar generates validated pull requests with proposed fixes, tests, and reproduction steps based on fully investigated bugs.

Fixes are created in a secure execution environment where LogicStar reproduces and validates the issue before proposing changes, with optional human approval or fully autonomous workflows.

Can I upgrade plans later?

Yes. You can upgrade your plan at any time as your usage grows.

Upgrades take effect immediately, and Enterprise plans can be tailored to your scale, integrations, and deployment requirements.

 How long does it take to get started?

LogicStar connects to your existing tools and starts surfacing high-impact bugs within hours, without requiring new instrumentation or changes to your codebase.

How are prioritized bugs calculated?

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Which signals can Logicstar analyze?

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How does AI Automatic Fixing work?

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Can I upgrade plans later?

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LogicStar AI logo – autonomous software maintenance and self-healing applications

Stop guessing what to fix

Start fixing what matters

LogicStar shows the bugs impacting customers and revenue, ranked and ready to act on.

No workflow changes. Results in ~1 hour.

Start your Trial
Screenshot of LogicStar generating production-ready pull requests with 100 percent test coverage, static analysis, and regression validationScreenshot of LogicStar generating production-ready pull requests with 100 percent test coverage, static analysis, and regression validation
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