Cloud Native CI/CD with GitLab
From Commit to Production Ready
Updates and recent posts about GPT-5.4.. Activity
@kala added a new tool INTELLECT-3 , 4 months ago.
Activity
@devopslinks added a new tool Lustre , 4 months ago.
Course
@eon01 published a course, 4 months, 1 week ago
Founder, FAUN.dev
Course 
@eon01 published a course, 4 months, 1 week ago
Founder, FAUN.dev
Observability with Prometheus and Grafana
A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems
Course 
@eon01 published a course, 4 months, 1 week ago
Founder, FAUN.dev
Cloud-Native Microservices With Kubernetes - 2nd Edition
A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes
Course
@eon01 published a course, 4 months, 1 week ago
Founder, FAUN.dev
Link
@anjali shared a link, 4 months, 1 week ago
Customer Marketing Manager, Last9
Instrument Jenkins With OpenTelemetry
Instrument Jenkins with OpenTelemetry to understand pipeline behavior, stage latency, and deploy steps using a single telemetry flow.
Activity
@devopslinks added a new tool Fleet , 4 months, 1 week ago.
Course
@eon01 published a course, 4 months, 1 week ago
Founder, FAUN.dev
End-to-End Kubernetes with Rancher, RKE2, K3s, Fleet, Longhorn, and NeuVector
The full journey from nothing to production
One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.
GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.
In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.
GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.
