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GPT-5.4

GPT-5.4 is OpenAI’s latest frontier AI model designed for professional and developer workflows. It combines advanced reasoning, strong coding capabilities, and improved tool use into a single system …

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Updates and recent posts about GPT-5.4..

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@viktoriiagolovtseva shared a post, 6 months, 1 week ago

How to Link Issues in Jira Manually and Automatically

Connecting issues in Jira serves many purposes. For instance, it allows you to track dependencies between tasks, identify blockers, and visualize these blockers in a timeline view. As a result, you can better organize your team’s work, enhance planning, and improve collaboration.

In this blog post, I explain how to link issues in Jira using different methods. You can link issues automatically or manually from a Jira board or issue view. Additionally, we give you useful tips on how to make working with linked issues more convenient and efficient.

Screenshot 2025-10-15 at 11.56.06

Story Palark Team

@shurup shared a post, 6 months, 1 week ago

@palark

New features introduced in Kubernetes 1.34

#Cloud N... #kuberne... #cncf

Recently, the latest Kubernetes version, v1.34, was released with 13 new alpha features on board. They include: - KYAML, a new dialect of YAML for Kubernetes manifests, which is still compatible with all existing tooling; - asynchronous API calls to kube-apiserver during scheduling; - various enhanc..

kubernetes 1.34 release

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@laura_garcia shared a post, 6 months, 1 week ago

Software Developer, RELIANOID

🚀 Load Balancing and High Availability of Skype for Business with RELIANOID

Unified communication platforms like Skype for Business play a critical role in keeping teams connected through instant messaging, voice, and video — but maintaining high performance and availability is key. That’s where RELIANOID ADC comes in. 💪 In our latest article, we explain how to optimize Sky..

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@anjali shared a link, 6 months, 1 week ago

Customer Marketing Manager, Last9

Choosing the Right APM for Go: 11 Tools Worth Your Time

Explore 11 APM tools built for Go—from lightweight open-source options to enterprise-grade platforms that simplify debugging.

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@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

OpenAI Agent Builder: A Complete Guide to Building AI Workflows Without Code

OpenAI’sAgent Builderdrops the guardrails. It’s a no-code, drag-and-drop playground for building, testing, and shipping AI workflows - logic flows straight from your brain to the screen. Tweak interfaces inWidget Studio. Plug into real systems with theAgents SDK. Just one catch: it’s locked behind P.. read more

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@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

Going down the rabbit hole of Postgres 18 features by Tudor Golubenco

PostgreSQL 18 just hit stable. Big swing! Async IO infrastructureis in. That means lower overhead, tighter storage control, and less CPU getting chewed up by I/O. Adddirect IO, and the database starts flexing beyond traditional bottlenecks. OAuth 2.0? Native now. No hacks needed. UUIDv7? Built-in su.. read more

Going down the rabbit hole of Postgres 18 features by Tudor Golubenco

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@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

I'm Building a Browser for Reverse Engineers

A researcher rolled their ownChromium forkwith a customDevTools Protocol (CDP) domain- not for fun, but to surgically probe browser internals. It reaches into Canvas, WebGL, and other trickier APIs, dodging the usual sandbox and spoofing all the bot blockers they'd rather you leave alone. It injects.. read more

I'm Building a Browser for Reverse Engineers

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@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

Advanced PostgreSQL Indexing: Multi-Key Queries and Performance Optimization

Advanced PostgreSQL tuning gets real results: composite indexes and CTEs can cut query latency hard when slicing huge datasets. AddLATERALjoins and indexed subqueries into the mix, and you’ve got a top-N query pattern that holds up—even when hammering long ID lists... read more

Advanced PostgreSQL Indexing: Multi-Key Queries and Performance Optimization

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@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

Development gets better with Age

A longtime AWS insider, Werner Vogels, breaks down the shift from slow-and-steady software growth to the generative AI rocket ride. Capabilities soared. Guardrails? Not so much. No docs, no handrails - just launch and learn. AWS didn’t chase the hype. It pulled a classic AWS move: doubled down on B2.. read more

Development gets better with Age

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@faun shared a link, 6 months, 2 weeks ago

FAUN.dev()

Inside Husky’s query engine: Real-time access to 100 trillion events

SteamPipe just gutted its real-time storage engine and rebuilt it inRust. Expect faster performance and better scaling. Now runs oncolumnar storage, ships withvectorized queries, and rolls anobject store-backed WAL. Serious firepower for time series data. System shift:Another sign that high-throughp.. 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.