Stop burning engineering hours on manual health checks, ticket triage, release notes, and compliance audits. Visor automates the recurring operational tasks that should have been automated years ago.
Built on Probe + Visor. Enterprise plans available.
Cron-like jobs powered by code intelligence. Morning health checks, nightly audits, weekly compliance reports — automated and code-aware.
Trigger on PR merge, deploy complete, ticket created, or CI failure. Automations that respond to what's happening in your system.
Automations that understand your codebase. Not just text processing — real semantic understanding of code, dependencies, and architecture.
Eliminate repetitive operational tasks that consume engineering time. Focus on building, not babysitting recurring work.
Manual health checks. Copy-paste release notes. Ticket triage. CI failure analysis. Compliance audits. These aren't engineering problems. They're autopilot problems.
Engineers spend 30%+ of their time on repetitive operational tasks. Morning health checks that could be a cron job. Ticket enrichment that's the same pattern every time. Release notes copy-pasted from PRs. Every sprint, the same toil eats the same hours. The work gets done, but it shouldn't require a human.
You manually compile a status report. Two hours later, it's outdated. A deploy shipped. Tickets changed. The infrastructure shifted. The report you just finished is already wrong, and next week you'll do it again. Manually compiled reports are always stale by the time someone reads them.
Critical alerts buried in noise because nobody has time to correlate. The CI fails nightly, but which failure matters? Three new tickets look similar — are they related? A deploy went out 6 hours ago — is that why latency spiked? Engineers miss signals because there are too many and not enough time to connect the dots.
Real automation examples from engineering teams. Scheduled jobs, event-driven workflows, and intelligence that runs on autopilot.
Cron-like jobs powered by code intelligence. Run on schedule, understand your codebase, take action.
Traditional cron jobs can't understand code. They execute scripts that grep logs or parse JSON. Visor's scheduled automations read code semantically, correlate across systems (GitHub, Jira, Datadog), and take intelligent action based on what they find.
Trigger automations on PR merge, deploy completion, ticket creation, CI failure, or any event in your system.
The best automations run when they're needed, not on a fixed schedule. When a CI build fails, analyze it immediately. When a ticket is created, enrich it with code context right away. When a deploy completes, validate configs before traffic shifts.
Visor workflows trigger on real events from GitHub, Jira, CI systems, and deployment pipelines. Each workflow has full code context and can take action across your entire toolchain.
Automations that understand code semantically, not just as text. Know the difference between a real issue and noise.
Generic automation tools treat code as text. They can't tell you if a failing test is flaky or a real regression. They can't trace a customer bug report back to the code module responsible. They can't determine if two tickets share a root cause by analyzing code paths.
Visor actions are powered by Probe's code intelligence. They understand functions, classes, dependencies, and call graphs. They correlate alerts with actual code changes. They trace bugs to source. They know what breaking changes look like, not just what git diff shows.
Pre-built automation workflows you can deploy immediately. Customize to your environment. Version like code.
Start every day with automated health checks. Query metrics from Datadog, correlate with recent deploys, scan for error spikes, and post a morning status update to your on-call channel. Green checkmark or investigation required.
Automate the busywork around releases. Generate release notes from merged PRs, check for missing changelog entries, validate staging vs production configs, and post deploy summaries. Let machines handle the checklist.
When a ticket is created, auto-enrich it with context. Find the relevant code modules, link related past tickets, classify by type and severity, and suggest which team should own it. Save engineers from doing this detective work manually.
Scheduled scans for security, compliance, and code hygiene. Check for CVEs in dependencies, audit code changes to regulated modules, scan for missing tests or docs, and generate compliance reports. All automated, all code-aware.
Workflows run entirely in your infrastructure. Code, secrets, and operational data never leave your environment. Full compliance compatibility.
Use Claude, GPT, open-source models, or self-hosted LLMs. Workflows adapt to your model choice. No vendor lock-in.
OpenTelemetry instrumentation on every workflow run. Track what was queried, what decisions were made, what actions were taken. Debug automations like code.
Built on Probe's open-source engine. Workflows are versioned like code. Inspect, audit, and customize everything.
Start with Probe open source for code intelligence, then add Visor enterprise for scheduled and event-driven automation workflows.
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The core code intelligence engine. Ask questions about your codebase, understand dependencies, trace code paths. Perfect for individual engineers or small teams.
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Everything in Probe Open Source, plus workflow automation, multi-repo intelligence, scheduled jobs, event-driven actions, and team integrations.
Start with Probe open source to validate code intelligence, then pilot Visor automations on real operational workflows.
Install Probe and test code intelligence on your codebase. No automation yet — just validate that it understands your code.
Install Probe as an MCP server for Claude Code, Cursor, or any MCP-compatible tool. Ask it questions about your codebase. See if it understands dependencies, architecture, and code patterns.
Add Probe as a GitHub Action to review PRs. See how it flags security issues, performance problems, and breaking changes with code-aware analysis.
Once code intelligence is validated, pilot 2-3 real automation workflows. Morning health checks, ticket enrichment, or release notes generation are good starting points.
Choose 2-3 workflows your team does manually every day or week. Morning health checks, ticket triage, changelog generation, or compliance audits are common choices.
We'll help you connect Visor to your GitHub, Jira, Datadog, and Slack. Configure the first workflow with your team's actual context and policies.
Let the automation run alongside the manual process for 1-2 weeks. Compare the automation's output to what your team does manually. Tune the workflow based on feedback.
Track how many hours per week the workflows save. If morning health checks took 30 min/day and are now automated, that's 2.5 hours/week per engineer saved.
Want to discuss which workflows to automate first?
Schedule a Workflow DiscussionZapier and GitHub Actions automate tasks, but they treat code as text. They can't understand dependencies, trace code paths, or correlate a customer bug with the module responsible. They execute scripts. They don't understand what the scripts are operating on.
Visor automations are powered by Probe's code intelligence. They understand your codebase semantically — functions, classes, dependencies, architecture. They can answer "which services would break if I change this?" Zapier cannot.
Both. Scheduled workflows run on cron-like schedules (every morning, nightly, weekly). Event-driven workflows trigger on real events from GitHub, Jira, CI systems, or deployments. You choose which model fits each automation.
Workflows can be configured to run in "dry-run" mode where they post results but don't take action (no PRs, no ticket updates, no deploys). You can review outputs, tune the workflow, and enable actions when you trust it. All workflow runs are logged and auditable via OpenTelemetry.
Yes. Workflows are configured like code and versioned in your repo. You can customize prompts, add integration steps, change schedules, and define custom actions. We provide workflow templates as starting points, then you adapt them to your team's actual processes.
Let's talk about which workflows are eating your team's time and how to automate them. We'll show you real workflow examples and discuss how to run a pilot with your team.