Types of Regression Testing in CI/CD Pipelines
Learn how different types of regression testing in CI/CD pipelines help teams detect defects early, maintain software quality, and reduce production risks while optimizing automated workflows.
Updates and recent posts about GPT-5.4..
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State Transition Testing Techniques for Microservices Applications
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OpenAI Unveils GPT-5.4, a Stronger Model for Reasoning, Coding, and Real Work
OpenAI released GPT-5.4, its new flagship model for ChatGPT, the API, and Codex. It improves reasoning, coding, and agent workflows, introduces native computer-use capabilities, supports up to 1M tokens of context, and adds tool search to make large tool ecosystems more efficient. The model is more accurate, more token-efficient, and better at real professional tasks like coding, spreadsheets, documents, and web research. A higher-performance GPT-5.4 Pro version is also available for complex workloads.
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Software Developer, RELIANOID
𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗦𝘁𝗮𝗿𝘁𝘀 𝗶𝗻 𝗟𝗼𝗻𝗱𝗼𝗻
🔐 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗦𝘁𝗮𝗿𝘁𝘀 𝗶𝗻 𝗟𝗼𝗻𝗱𝗼𝗻 The 𝗚𝗮𝗿𝘁𝗻𝗲𝗿 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 & 𝗔𝗰𝗰𝗲𝘀𝘀 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗦𝘂𝗺𝗺𝗶𝘁 𝟮𝟬𝟮𝟲 is almost here! On 𝗠𝗮𝗿𝗰𝗵 𝟵–𝟭𝟬 𝗶𝗻 𝗟𝗼𝗻𝗱𝗼𝗻, IAM leaders, security architects, and IT executives will gather to tackle the biggest challenges shaping modern identity security. From 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 𝗧𝗵𝗿𝗲𝗮𝘁 𝗗𝗲𝘁..
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.
