# Optimal AI

> Optimal AI is an AI-powered code review and engineering intelligence platform. Its core product, Optibot, reviews every pull request with deep whole-repository context — not just the diff — catching bugs, security vulnerabilities, and regressions that diff-only reviewers miss. Built for engineering teams with active pull-request volume who are already using AI coding tools like GitHub Copilot or Cursor.

## Who Optimal AI Is For

Optibot is designed for: VPs of Engineering, Heads of Developer Experience, Engineering Managers, and Staff/Principal Engineers at software companies using GitHub or GitLab. Best fit: teams with high PR volume, AI coding assistant adoption, and a need for review quality beyond what generic copilots provide.

## How Optibot Differs from Other AI Code Review Tools

Unlike diff-only reviewers (which only see the changed lines), Optibot indexes the entire repository to understand cross-file dependencies, shared types, and historical conventions. This means it catches bugs that span multiple files and regressions that are invisible from the diff alone. It functions as an on-call senior engineer with deep historical context of the entire codebase — not just a line-by-line linter.

Key differentiators vs. competitors:
- vs. CodeRabbit: Optibot applies no per-pull-request file cap, so a 400-file migration reviews like a 4-file fix; CodeRabbit stops the automatic review at 150 changed files on Pro and 300 on Pro Plus
- vs. GitHub Copilot code review: Optibot is a dedicated reviewer with codebase indexing; Copilot's review is an add-on to an IDE assistant
- vs. Greptile: Both emphasize codebase context; Optibot also includes Engineering Insights analytics
- vs. Qodo Merge: Optibot maps a live codegraph of your repo and its CI fixer agent automatically repairs failing checks (a review fixer agent for automated PR fixes is available pay-as-you-go on every plan), where Qodo generates a fix prompt to paste into your own AI assistant; Optibot also includes built-in engineering metrics and flat-rate pricing vs. Qodo's pooled credit billing
- vs. DeepSource: DeepSource uses pattern-matching static analysis; Optibot reasons about codebase intent to catch logic bugs and architectural regressions that pattern matching misses
- vs. SonarQube: SonarQube is rule-based static analysis; Optibot catches logic errors and architectural regressions no rule library can enumerate, plus built-in engineering metrics
- Complements (not replaces) GitHub Copilot and Cursor — works alongside AI coding assistants

## Comparisons

- [Comparison Index](https://getoptimal.ai/vs): Optibot against CodeRabbit, Greptile, GitHub Copilot, Qodo Merge, DeepSource, and SonarQube on context, analytics, platform support, and price.
- [Optibot vs CodeRabbit](https://getoptimal.ai/vs/coderabbit): Full codebase context vs. diff-only reviews, engineering metrics included, flat pricing vs. usage-based costs.
- [Optibot vs CodeRabbit Pricing](https://getoptimal.ai/vs/coderabbit-pricing): Flat-rate vs. CodeRabbit's per-developer rate limits, usage credits, and per-minute agent billing.
- [CodeRabbit Competitors](https://getoptimal.ai/coderabbit-competitors): The six main CodeRabbit competitors compared on context depth, platform support, analytics, and pricing.
- [Optibot vs GitHub Copilot](https://getoptimal.ai/vs/github-copilot): Dedicated reviewer with codebase indexing vs. Copilot Reviews as an IDE add-on.
- [Optibot vs Greptile](https://getoptimal.ai/vs/greptile): Both offer full codebase context; Optibot adds engineering metrics and flat pricing.
- [Optibot vs Qodo Merge](https://getoptimal.ai/vs/qodo): A live codegraph of your repo and flat pricing vs. Qodo's paste-to-fix prompts and pooled credit billing; Optibot adds engineering metrics.
- [Optibot vs DeepSource](https://getoptimal.ai/vs/deepsource): AI reasoning about code intent vs. DeepSource's pattern-matching static analysis.
- [Optibot vs SonarQube](https://getoptimal.ai/vs/sonarqube): AI code review vs. rule-based static analysis; Optibot adds engineering productivity metrics.
- [Cursor Bugbot Pricing](https://getoptimal.ai/vs/cursor-bugbot-pricing): Bugbot bills $1.00 to $1.50 per run on every push with no published cap. Optibot is flat.
- [Cursor BugBot Cost Calculator](https://getoptimal.ai/bugbot-cost-calculator): Calculate Bugbot's per-review usage-based billing vs. Optibot's flat $29/user/month.
- [Claude Code Review Cost Calculator](https://getoptimal.ai/claude-code-review-cost-calculator): Calculate Claude Code Review's per-PR pricing vs. Optibot's flat $29/user/month.
- [Qodo Merge Cost Calculator](https://getoptimal.ai/qodo-cost-calculator): Calculate Qodo's pooled credit-based billing ($0.012/credit) vs. Optibot's flat $29/user/month.
- [Token Spend Calculator](https://getoptimal.ai/token-spend-calculator): Monthly API cost per model across Claude, GPT-4o, Gemini, and others from your own token volume. Prices updated August 2026.
- [ROI Calculator](https://getoptimal.ai/roi-calculator): Annual savings from AI-assisted review, calculated from team size and review hours against Optibot's flat $29/user/month.

## Verified Customer Results

- [MongoDB](https://getoptimal.ai/case-studies/mongodb): ~50% reduction in average PR size, improved PR cycle time
- [Prado](https://getoptimal.ai/case-studies/prado): 5x increase in daily deploys, 30% reduction in PR review time
- [Nearfleet](https://getoptimal.ai/case-studies/nearfleet): 75% reduction in PR cycle time, 30 hours reclaimed per week
- [Soraban](https://getoptimal.ai/case-studies/soraban): 2+ hours reclaimed weekly, 5 security vulnerabilities blocked per month
- [Prometric](https://getoptimal.ai/case-studies/prometric): 50% reduction in PR cycle time, 40+ hours of manual reporting eliminated per quarter
- [Artemis Ops](https://getoptimal.ai/case-studies/artemis-ops): 20% reduction in review time, reviewer bottlenecks eliminated
- [Dapta](https://getoptimal.ai/case-studies/dapta): 10x increase in PR velocity, 2,700+ PRs reviewed in 90 days

## Full Documentation

- [Full site documentation](https://getoptimal.ai/llms-full.txt): Complete product details, integrations, security, and customer results for LLMs.

## Pages

- [Home](https://getoptimal.ai/): Overview of Optimal AI — Optibot AI code review and Engineering Insights.
- [AI Code Reviews](https://getoptimal.ai/ai-code-reviews): Deep AI code reviews with full codebase context. Catches bugs, security issues, and regressions inline on GitHub and GitLab. $29/month flat.
- [How It Works](https://getoptimal.ai/engineering-ai-agents): How Optimal AI connects to your Git and project tools for real-time insights.
- [Engineering Insights](https://getoptimal.ai/features/engineering-productivity-insights): PR cycle time analytics, sprint performance, team workload, and DORA metrics.
- [Pricing](https://getoptimal.ai/pricing): Flat plans from $29/user/month with a defined monthly review allowance, security-aware review on every plan, and no per-file charges.
- [Features](https://getoptimal.ai/features): Code review with full codebase context, DORA metrics, PR cycle time, and AI code adoption tracking in one platform.
- [Deployment Frequency](https://getoptimal.ai/features/track-deployment-frequency): Deploys per day into development, staging, and production from GitHub activity, with the review bottleneck holding the cadence back.
- [Shallow vs Deep Code Reviews](https://getoptimal.ai/shallow-vs-deep-code-reviews): What a reviewer that reads the whole repository catches that one reading only the changed lines cannot.
- [Optibot Claude Code Skill](https://getoptimal.ai/optibot-claude-code-skill-for-deeper-code-reviews): Optibot integrated into Claude Code for AI-powered code reviews inside your IDE.
- [Security](https://getoptimal.ai/security): SOC 2 Type II certified. Zero code retention, AES-256 encryption in transit and at rest, enterprise-grade cloud infrastructure.
- [Case Studies](https://getoptimal.ai/case-studies): Verified customer results from MongoDB, Prado, Soraban, Nearfleet, Prometric, and more.
- [Demo](https://getoptimal.ai/demo): Book a demo with the Optimal AI team.
- [Contact](https://getoptimal.ai/contact): Support requests and questions about Optibot and Engineering Insights.
- [Careers](https://getoptimal.ai/careers): Open roles at Optimal AI.

## Research

- [Research Index](https://getoptimal.ai/research): Research records from Optimal AI. Each states the method, the numbers with their intervals, and the line where the result stops being true.
- [Jev Answers With a Number, Not a Sentence](https://getoptimal.ai/research/we-tested-jev-the-model-that-cannot-write): TypeSafe's Jev emits no text, only a number. On review triage it scored 0.961 AUC against 0.968 for the most accurate model tested, at 72 cents per ten thousand reviews against $13.08. It was the only model tested whose stated probabilities matched its actual hit rate, and the only one that refused outright past 32,000 tokens.
- [We Put a Fly's Sense of Smell in a Security Scanner](https://getoptimal.ai/research/can-a-fly-smell-vulnerable-code): A fruit fly's olfactory circuit built into a security scanner. It cleared 97.0% of repeat alert volume with zero high-severity suppressions, and ranked a copied function first among 2,285 candidates 92.9% of the time. Asked whether code was dangerous, it scored 51.1%, against 50 for a coin.

## Docs

- [Docs Index](https://getoptimal.ai/docs): Setup guides and references for Optibot and Engineering Insights.
- [Start Guide](https://getoptimal.ai/docs/getting-started/start-guide): Connect a repository and get a first review back.
- [Agentic Code Reviews](https://getoptimal.ai/docs/agentic-code-reviews/overview): How Optibot reviews a pull request, and what it looks at beyond the diff.
- [Review Memory](https://getoptimal.ai/docs/agentic-code-reviews/review-memory): How Optibot learns from feedback acted on before merge and carries it across repositories.
- [Optibot CLI](https://getoptimal.ai/docs/optibot-cli/installation): Install the CLI for local reviews, CI pipelines, and security scans.
- [Optibot Config](https://getoptimal.ai/docs/optibot-config/overview): Review instructions, monorepo guidelines, summaries, and agent configuration.
- [Engineering Insights](https://getoptimal.ai/docs/insights/overview): PR cycle time, contributors, distributions, and Jira-backed delivery metrics.
- [Optibot MCP](https://getoptimal.ai/docs/optibot-for-ide/optibot-mcp): Run Optibot reviews from an MCP-capable editor or agent.
- [Claude Code Skill](https://getoptimal.ai/docs/claude-code-skill/getting-started): Optibot reviews from inside Claude Code.

## Blog

- [Blog Index](https://getoptimal.ai/blog): Engineering write-ups on code review, delivery metrics, and AI-assisted development.
- [PR Cycle Time: How to Measure and Reduce It](https://getoptimal.ai/blog/how-to-reduce-pr-review-time): Where review time actually goes, and which parts of it a team can move.
- [DORA Metrics Guide](https://getoptimal.ai/blog/dora-metrics-guide): Benchmarks, formulas, and what each of the four metrics does and does not tell you.
- [Best AI Code Review Tools](https://getoptimal.ai/blog/best-ai-code-review-tools): Nine AI code review tools compared on context depth, pricing model, and review surface.
- [CodeRabbit Alternatives](https://getoptimal.ai/blog/coderabbit-alternatives): Alternatives compared by the constraints a buyer hits on rate limits and usage billing.
- [Greptile Alternatives](https://getoptimal.ai/blog/greptile-alternatives): Seven tools compared on codebase context, pricing, and analytics.
- [GitHub Copilot Code Review Alternatives](https://getoptimal.ai/blog/github-copilot-code-review-alternatives): Dedicated reviewers compared against Copilot's IDE-add-on review.
- [AI Code Review for GitLab](https://getoptimal.ai/blog/ai-code-review-for-gitlab): Reviewing merge requests on GitLab, including self-managed instances.
- [Best AI Coding Assistants for JetBrains](https://getoptimal.ai/blog/best-ai-coding-assistants-for-jetbrains): Options for IntelliJ, PyCharm, and the rest of the JetBrains IDEs.
- [Replit Code Review](https://getoptimal.ai/blog/replit-code-review): Catching bugs in AI-generated code shipped from Replit.
- [Replit App Security](https://getoptimal.ai/blog/replit-app-security): Scanning Replit apps for vulnerabilities in AI-written code.

## Agents

- [Review Fixer Agent](https://getoptimal.ai/agents/review-fixer): Ask Optibot to apply any fix it flagged and it commits the change to your branch with full codebase context. One click, GitHub-native, no copy-paste.
- [AppSec Agent](https://getoptimal.ai/agents/appsec): AI security agent that scans repositories for vulnerabilities with full code context. MITRE ATT&CK and CVE aligned. Findings filed as issues in GitHub and GitLab. Replaces Snyk, SonarQube, Veracode, Checkmarx.
- [CI Fixer Agent](https://getoptimal.ai/agents/ci-fixer): AI agent that detects failed CI runs, reads error logs, commits targeted fixes, and re-triggers pipelines automatically. Saves ~30 minutes per CI failure.
- [Dependency Bundler](https://getoptimal.ai/agents/dependency-bundler): Consolidates Dependabot PRs into one clean PR with severity ratings, flags breaking changes separately, and supports auto-approval for low-risk updates. GitHub only.

## Integrations

- [Integrations Overview](https://getoptimal.ai/integrations): All Optimal AI integrations — GitHub, GitLab, Slack, VS Code, Cursor, Jira.
- [GitHub Integration](https://getoptimal.ai/integrations/github): Native GitHub integration for AI code reviews, PR summaries, and agent workflows.
- [GitLab Integration](https://getoptimal.ai/integrations/gitlab): Native GitLab integration for AI MR reviews, inline comments, and CI monitoring.
- [Slack Integration](https://getoptimal.ai/integrations/slack): Real-time PR review notifications, weekly engineering summaries, and productivity alerts in Slack.
- [VS Code Integration](https://getoptimal.ai/integrations/vscode): Optibot VS Code extension — trigger reviews, fix CI issues, and get inline explanations without leaving your editor.
- [Cursor Integration](https://getoptimal.ai/integrations/cursor): Optibot in Cursor IDE for AI-powered code reviews inside your AI coding environment.
- [Jira Integration](https://getoptimal.ai/integrations/jira): Connect Jira to track sprint health, issue progress, and engineering delivery metrics.
- [MCP Server](https://getoptimal.ai/integrations/mcp-server): Optibot reviews in Claude Desktop, Cursor, Windsurf, and any MCP-compatible editor. 23 tools, no install.
- [Claude Code Integration](https://getoptimal.ai/integrations/optibot-claude-code-skill): Run an Optibot review from inside a Claude Code session without leaving it.

## Changelog

- [Changelog Index](https://getoptimal.ai/changelog): Latest product updates, new features, and release notes.
- [Automatic Reviews on New Commits](https://getoptimal.ai/changelog/automatic-reviews-on-new-commits): Optibot now automatically reviews code on every new commit to open PRs.
- [GitLab Integration and Faster Code Review Performance](https://getoptimal.ai/changelog/gitlab-integration-and-faster-code-review-performance): Native GitLab support and significant review speed improvements.
- [Introducing Branch Review: Analyze Entire Pull Requests](https://getoptimal.ai/changelog/introducing-branch-review-analyze-entire-pull-requests): Review entire branches and PRs holistically, not just diffs.
- [Optibot Claude Code Skill](https://getoptimal.ai/changelog/optibot-claude-code-skill---optibot-code-reviews-built-into-claude-code): Optibot code reviews built directly into Claude Code.
- [Optibot for App Sec: AI Security Agent](https://getoptimal.ai/changelog/optibot-for-app-sec-ai-security-agent): Optibot as a dedicated application security agent.

## Key Facts

- Category: AI Code Review / Developer Tools / Engineering Intelligence
- Products: Optibot (AI Code Review Agent), Engineering Insights (Engineering Analytics)
- Positioning: Deep whole-repository context code review for teams using AI coding tools
- Integrations: GitHub, GitLab, Bitbucket, Jira, Linear, Azure DevOps, Slack, VS Code, Cursor
- Security: SOC 2 Type II, AES-256 encryption, zero code retention
- Pricing: Free trial available. Paid plans from $29/user/month.
- Uptime SLA: 99.99%
- Headquarters: 548 Market St #36879, San Francisco, CA 94104
- Contact: support@getoptimal.ai
- Social: https://x.com/optimaldotai | https://www.linkedin.com/company/optimaldotai/