Hatchet vs Codex

Hatchet is your go-to AI companion designed to streamline incident responses for on-call engineers—offering a swift and smart solution to triage, investigate, and deploy fixes faster. This intelligent system understands every part of your infrastructure, processing observability data in mere seconds, so you can resolve issues rapidly and efficiently. With its ability to automatically triage, investigate, and remediate incidents, especially in critical tier-1 services, Hatchet injects relevant context into incidents to save time and resources.

For enhanced data security, Hatchet is deployed as an on-premises, self-hosted solution with robust security features—including Code Llama 2, no telemetry, permissions management, audit trails, single sign-on (SSO), and version control—ensuring your data remains within your virtual private cloud (VPC). Hatchet boasts easy integration into any alerting system by calling it at the service's entrypoint and pointing it to the log file, after which it takes over to work its magic.

OpenAI Codex is an AI system that translates natural language into code, now generally available with new features for developers and teams. It powers GitHub Copilot and supports over a dozen programming languages including Python, JavaScript, Go, and more. Codex can interpret simple English commands and execute them, enabling natural language interfaces to software and APIs.

The latest version, GPT-5-Codex, offers faster and more accurate coding assistance, accessible via an API and a new SDK that integrates the Codex agent into custom workflows and apps. Codex also features a Slack integration, allowing teams to delegate coding tasks and get answers directly within Slack channels.

Administrators benefit from enhanced tools like environment controls, usage monitoring, and analytics dashboards to manage Codex usage at scale. Codex is used globally by startups and enterprises alike to speed up code reviews, automate code cleanup, and reduce manual coding effort.

Technically, Codex has a larger memory for Python code (14KB) than its predecessor GPT-3, allowing it to consider more context when generating code. It runs as a cloud-based agent and also offers a local CLI tool for coding assistance in terminal environments.

OpenAI continues to improve Codex’s safety and reliability, scaling access carefully while supporting developers with documentation and community resources. Codex lowers barriers to programming by automating repetitive tasks and helping users map problems to existing code efficiently.