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PlayerZero
AI production engineering platform that builds a living world model of your software (code, tickets, telemetry, decisions) so autopilot SRE, support, and QA agents can investigate, simulate, and resolve production issues.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T10:41:39.866Z. Cached copy · Source on playerzero.ai
# PlayerZero
> AI production engineering platform that builds a living world model of your software (code, tickets, telemetry, decisions) so autopilot SRE, support, and QA agents can investigate, simulate, and resolve production issues.
## Core
- [Homepage](https://playerzero.ai/): Overview of PlayerZero's engineering world model and the autopilot SRE, support, engineering, and QA agents that ride on it.
- [About PlayerZero](https://playerzero.ai/about-us): Company mission ("the production system of record"), backers, and how the platform unifies code, infra, and customer reality.
- [How PlayerZero Works](https://playerzero.ai/docs/how-playerzero-works): End-to-end explanation of how PlayerZero ingests code and telemetry, builds context, and runs investigations.
- [Welcome to PlayerZero](https://playerzero.ai/docs/introduction): Getting-started entry point for the product docs.
- [Quick Start Guide](https://playerzero.ai/docs/developer-guide/quickstart-guide): Fastest path to connect a codebase and run a first investigation.
## Use Cases
- [AI SRE](https://playerzero.ai/use-cases/sre): Detect incidents before they page, run parallel hypothesis verification via code simulations, and gate remediations behind approvals.
- [AI Support Engineering](https://playerzero.ai/use-cases/support-engineering): Auto-triage, diagnose, and resolve L2/L3 tickets with root cause analysis in minutes (Zuora: triage time 3d to 15m).
- [AI QA](https://playerzero.ai/use-cases/qa): Simulate code paths in the real codebase from PRDs and diffs to catch regressions before merge.
## Products & Features
- [AI Players](https://playerzero.ai/docs/features/ai-player): Conversational AI agent that navigates the codebase, debugs issues, and analyzes changes with full repo context.
- [Code Simulations](https://playerzero.ai/docs/features/code-sim): AI-predicted test scenarios that validate behavior before tests run, surfacing risks and coverage gaps.
- [Hive Mode](https://playerzero.ai/docs/features/hive-mode): Multi-agent investigations where specialist agents coordinate and cross-check in real time.
- [PR Reviews](https://playerzero.ai/docs/features/code-reviews): Automated pull-request review with testing guidance and regression detection.
- [Workflows](https://playerzero.ai/docs/features/workflows): Multi-stage pipelines with structured stages, transition rules, and human approval gates for agent work.
- [Monitors](https://playerzero.ai/docs/features/monitors): Scheduled checks across your systems that alert when conditions fail.
- [Knowledge Bases](https://playerzero.ai/docs/features/knowledge-bases): Upload org docs so agents can search and cite them during investigations.
- [User Replay Sessions](https://playerzero.ai/docs/features/debug-reports): End-to-end session capture correlating user actions, system data, and code for faster repro.
## Research
- [Introducing SIM-1](https://playerzero.ai/research/sim-1): Models that simulate large codebases and infrastructure
…
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