Updates and recent posts about GPT-5.4..

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@laura_garcia shared a post, 2 months ago

Software Developer, RELIANOID

🚀 If you’re building AI systems, reliability is no longer optional

Many teams are rushing to adopt AI, but few are asking the most critical question: 👉 What happens when AI fails? Back in December, we published an article that remains more relevant than ever: AI is redefining Site Reliability Engineering (SRE). Why? Because AI inference workloads introduce new reli..

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@aleonrangel gave 🐾 to Difference between Agile and Scrum , 2 months ago.

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@aleonrangel gave 🐾 to Difference between Agile and Scrum , 2 months ago.

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@laura_garcia shared a post, 2 months ago

Software Developer, RELIANOID

🔐 Reminder: Azure MFA Enforcement Is Now in Place

Some time ago, Microsoft announced and enforced mandatory multifactor authentication (MFA) for all Azure tenants performing resource management actions. 👉 This marked a clear turning point: MFA is no longer optional — it’s a requirement. At RELIANOID, we shared how this change reinforces the need to..

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@varbear shared a link, 2 months ago

FAUN.dev()

How to build internal developer tools with a small team

A fresh way to think about internal dev tooling: three axes,width(new features),depth(polish and stability), andpreparation(future-ready architecture). Instead of treating tradeoffs as binary, the model maps them as vectors in a shared space. Less tug-of-war. More informed roadmap moves... read more

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@varbear shared a link, 2 months ago

FAUN.dev()

How Browsers Work

An interactive open-source guide breaks down browser internals with slick, step-through models coveringDNS resolution,TCP handshakes, andHTML parsing. It walks through the browser'ssequential pipeline- from URL to DOM - blending protocol deep-dives with hands-on visuals you can poke at... read more

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@varbear shared a link, 2 months ago

FAUN.dev()

Web development is fun again

A seasoned dev takes a hard look at today’s messy full-stack reality: scattered tools, niche deep-dives, and burnout baked into the job. ButAI coding assistantsflipped the script. They help offload overhead, mimic pro-level workflows, and sanity-check the code. Now this dev moves across frontend and.. read more

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@varbear shared a link, 2 months ago

FAUN.dev()

The Mac Malware of 2025 👾

The 2025 macOS malware scene leveled up hard. Thinkmodular infostealers, built for stealth, slipping in with staged loaders, encrypted configs, and slick social engineering - fake updates, bogus job interviews, even sketchy terminal promos like “ClickFix.” Attackers leaned onAppleScript,JXA, andGo-b.. read more

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@kaptain shared a link, 2 months ago

FAUN.dev()

v1.35: Introducing Workload Aware Scheduling

Kubernetes v1.35 is shifting gears. The newWorkload APIand earlygang schedulingsupport bring group-first thinking, schedule Pods as a unit, or not at all. They’ve thrown inopportunistic batchingtoo. It’s in Beta. It speeds up clusters juggling loads of identical Pods by skipping repeat feasibility c.. read more

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@kaptain shared a link, 2 months ago

FAUN.dev()

Kubernetes Was Overkill. We Moved to Docker Compose and Saved 60 Hours.

A small team rolled back their Kubernetes move after six months in the weeds. The setup tanked productivity, bloated infra costs, and turned simple deploys into a slog. They ditched it, brought back Docker Compose, and chopped deploy time from 45 minutes to 4. That one change freed up 60+ engineerin.. read more

GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

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.