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AI Agents for Production

Codewolf AICodewolf AI
Codewolf AICodewolf AI
01

Codewolf

AI agents for production

What is Codewolf

Codewolf investigates production issues, traces user problems, and delivers a Morning Brew, a daily report on what happened while you were sleeping. All from Slack or your AI coding tools via MCP.

How it Works

Codewolf ingests comprehensive signals across your entire stack, combining observability data (logs, traces, and metrics) with critical operational events like deployments, alerts, and pull requests.

At the core, our Multi-Agent Orchestration engine processes this telemetry continuously. Hundreds of specialized AI agents work 24/7 to enrich data and construct a real-time context of your system.

The result is immediate, actionable resolution. Codewolf delivers root cause analysis for instant debugging and proactive automated reports to maintain system.

Proactive, Not Reactive

Most AI tools wait for you to ask a question. Codewolf works while you sleep, running continuous scans, detecting anomalies, and preparing fixes before they become incidents. You wake up to pull requests, not pages. Every morning, you get a Morning Brew: a daily report of what happened overnight and what was fixed.

Why Work With Us?

Building production intelligence is months of engineering work: integrations, agent orchestration, context management, and continuous improvement.

If you try to use Cursor, Claude Code, or other AI tools, they won't have continuous knowledge of your entire system across hundreds of microservices. That context is hard to build and keep up to date.

We've already done it. Focus on your product. Let Codewolf handle reliability. We work like a part of your team, not just another tool.

Codewolf AICodewolf AI
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AI Agents for Production.

Continuous Ingestion
Observability
Datadog
Sentry
CloudWatch
Grafana
Prometheus
New Relic
Signals
Deployments
Alerts
Incidents
PRs
Config
Tickets
P1 #142
Deploy #89
p99: 1.2s
cpu: 92%
ERR 500
Ticket #847
PR #431
mem: 87%
Incident #21
rps: 12.4k
P2 #143
PR #432
timeout
latency: 340ms
disk: 94%
Codewolf

Codewolf Multi-Agent Orchestration

Hundreds of Specialized Agents · 24/7 Continuous Intelligence

Continuous Context Engine
Maintains system-wide context so agents are ready before alerts fire
Adaptive Intelligence
Fine-tuned agent prompts and tools with guardrails for accurate, reliable investigations
Multi-Signal Correlation
Synthesizes logs, PRs, metrics into one narrative
SRE-1
SRE-2
ENG-1
ENG-2
SRE-3
SRE-4
Reactive
Investigation Agents
@codewolf checkout is broken
VIEW
✓Searched 264,847 logs across 12 services
✓Viewed 8 dashboards and 127 metrics
✓Reviewed 32 alerts and 3 recent deployments
✓Found root cause → Opened PR
6 agents | 32s
Canvas
Checkout Investigation Report
Canvas
@codewolf can you check ticket #4821?
VIEW
✓Correlated with 3 similar tickets this week
✓Traced to N+1 query in analytics endpoint
✓Identified affected customers and usage patterns
✓Drafted response + fix suggestion
4 agents | 18s
Canvas
Ticket #4821 Investigation
Canvas
Proactive
Morning Brew
Codewolf
CodewolfAPP9:00 AM
Good morning,
• 3 alerts on payments-service at 3:42 AM (auto-resolved)
• Deploy #4521 correlated with 23% latency spike
• Ticket #4821 slow dashboards → N+1 query found
• Budget alert prod-db-1 20% over forecast
Suggested Actions
1.View PRIncrease connection pool size
2.InvestigateWhy did deploy #4521 cause latency?
Canvas
Morning Brew Report (2025-01-02)
Canvas
Investigation Summary
Signals: 2 Analyzed: 847 logs, 12 dashboards Duration: 4m 12s
TL;DR
N+1 query in analytics endpoint causing customer-reported slowness. RDS costs elevated due to oversized instance from last month's scaling event.
Codewolf AICodewolf AI
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Join the Design Partnership

24/7 Engineering Support
We work in your Slack to integrate and customize Codewolf.
Built for Your Stack
Agents customized to your stack, pipelines, and investigation workflows.
SOC 2 Compliant & Secure
Type I & Type II certified. Read-only by default, zero risk to production.

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