AI that ships code, not chatbots.
MonkeysAI is embedded in your development workflow — it reviews code, explains build failures, scores deploy risk, plans sprints, summarizes standups, and answers questions about your project. Powered by Google Vertex AI. Your code never leaves GCP.
AI with access to your project. Not a generic chat window.
Most AI tools are disconnected chat windows. MonkeysAI is different — it has direct access to your codebase, task board, build history, deploy history, and monitoring data.
This makes the difference between 'check your configuration' and 'the error is in PaymentController.php line 142, introduced in Deploy #91.'
Codebase
Full repo, not just diffs
Task Board
Open tasks, velocity, sprints
Build History
Logs, patterns, failures
Deploy History
What, when, by whom
Monitoring
Metrics, errors, latency
Documentation
Docs, runbooks, ADRs
Every PR reviewed in seconds.
MonkeysAI reviews every pull request automatically — before your human reviewers receive the notification.
It reads the diff in context and posts inline comments covering security, performance, bugs, and best practices. Each comment includes the problem, why it matters, and a suggested fix with code.
SQL injection risk — use parameterized queries instead of string concatenation
N+1 query in user loop — eager load with ->with('posts') to avoid 100+ queries
Null reference on line 42 — $user may be null when auth fails
Missing error handling — wrap external API call in try/catch with fallback
Build failed? AI tells you why and how to fix it.
When a build fails, MonkeysAI reads the entire build log — not just the last line. It identifies the root cause and explains it in plain language with a suggested fix.
No more scrolling through 500 lines of npm output. No more Googling cryptic error codes.
MonkeysAI Analysis
TypeScript found a type mismatch on Auth.tsx:42. The function handleLogin expects string but receives string | undefined. Introduced in commit abc123.
Fix: Add a null check before calling handleLogin.
AI in every workflow. Not just a sidebar.
Deploy risk scoring, sprint planning, standup summaries, natural language chat, and semantic search.
Deploy Risk Score
AI evaluates risk before production deploys — diff size, test coverage, historical success, DB migrations, day/time. Low, Medium, or High.
AI Sprint Planning
Analyzes backlog, velocity history, dependencies, and availability. Suggests sprint composition and warns about overcommitment.
Standup Summaries
Auto-generated from actual work: PRs merged, tasks completed, builds failed, deploys shipped. Posted to Slack or activity feed.
Natural Language Chat
'What broke?' 'Create a high-priority security task.' 'Compare staging and production env vars.' — commands and queries in plain English.
Semantic Search
Find tasks, PRs, commits, and docs using natural language — not just exact keywords. 'PRs that changed authentication' works.
Privacy & Security
All processing on Google Vertex AI within GCP. Code never leaves your region. Never stored beyond requests. Never used for training.
AI that knows your code. Free to start.
Code review, build analysis, sprint planning, and chat — embedded in every workflow. Powered by Vertex AI. Available on all plans.