Join us

ContentUpdates and recent posts about GPT-5.4..
Story
@laura_garcia shared a post, 7 months, 3 weeks ago
Software Developer, RELIANOID

🌊 Load Balancing Smart Wave with RELIANOID — Built for Marine Telemetry

The Smart Wave platform is key for real-time telemetry from offshore buoys, vessels, and coastal stations. But how do you ensure it performs reliably — even over satellite links? We've published a new technical guide showing how to load balance Smart Wave using RELIANOID: ✅ MQTT & TCP ingestion for ..

Knowledge base_how to load balance SMART WAVE_blue economy
Link
@faun shared a link, 7 months, 3 weeks ago
FAUN.dev()

What makes Claude Code so damn good (and how to recreate that magic in your agent)!?

Claude Code skips the multi-agent circus. One main loop. At most, one fork in the road. Everything runs through a flat message history, tracked by a tidy little to-do list. Over half its LLM calls? Outsourced to lighter, cheaper models likeclaude-3-5-haiku. Smart split: heavyweight reasoning when y.. read more  

What makes Claude Code so damn good (and how to recreate that magic in your agent)!?
Link
@faun shared a link, 7 months, 3 weeks ago
FAUN.dev()

The Programming Skills You Need for Today's Data Roles

New tutorials dig into usingLabel Studio + Dockerto tighten up object detection pipelines—and how to squeeze more out ofRabbitMQ + Celerywithout breaking your queue (or your spirit). Other writeups get into the weeds with LLM monitoring,Bayesian hyperparameter search, and Google’s freshly droppedLan.. read more  

The Programming Skills You Need for Today's Data Roles
Link
@faun shared a link, 7 months, 3 weeks ago
FAUN.dev()

How we migrated our Rush.js monorepo to Node type stripping

Calm gutted a 10-year-old Rush.js monorepo and came out faster, cleaner, and way less tangled. The team dropped transpilation, ditched source maps, and went all-in onNode type strippingwithnative ESM. Local dev sped up by 30–40%. CI jobs? 3–6 minutes faster. The overhaul hit everything: killed stubb.. read more  

Link
@faun shared a link, 7 months, 3 weeks ago
FAUN.dev()

My Own DNS Server At Home

RunningBIND on Fedora with Podmanputs you in the driver’s seat—local DNS, full zone control, and no third-party middlemen. It handles staticforward/reverse zonesacross multiple IPv4 subnets, skips the mess of dynamic updates, and plugs into your router as a recursiveforwarding resolver. Call it a se.. read more  

My Own DNS Server At Home
Link
@faun shared a link, 7 months, 3 weeks ago
FAUN.dev()

Closer to the Metal: Leaving Playwright for CDP

The Browser-Use crew ditched Playwright and went straight to the Chrome DevTools Protocol. Why? Speed. Way faster element scraping, screenshots, and async automation. They didn't stop there—cooked up a custom CDP Python client with strong type safety, an event-driven core, and real support for crash.. read more  

Closer to the Metal: Leaving Playwright for CDP
Link
@faun shared a link, 7 months, 3 weeks ago
FAUN.dev()

Redis to acquire Decodable

Redis is buyingDecodable, the real-time streaming startup, to crank up itsRedis Data Integration (RDI)and beef up real-time data ingestion. Decodable’s stack lands in Redis Cloud first, syncing outside data into Redis fast enough to feed hungry AI agents real context. What's really happening:Redis i.. read more  

Redis to acquire Decodable
Link
@faun shared a link, 7 months, 3 weeks ago
FAUN.dev()

Vibe Coding Will Break Your Enterprise

Tools likeReplitandLovableare fine for quick hacks. Not for enterprise. They can’t handle service integration, durable state, or transactions that don’t fall apart. What enterprises need: realagentic systems. These aren’t glorified code editors—they’re stateful, resilient operators. They juggle work.. read more  

Vibe Coding Will Break Your Enterprise
Link
@faun shared a link, 7 months, 3 weeks ago
FAUN.dev()

Claude Code Ushers in a New Era of Agentic Programming

The rapid evolution of agentic coding is transforming software development, moving beyond traditional methods to intelligent, autonomous systems. Anthropic's Claude Code represents a significant leap in AI assistance for developers, shifting the paradigm from direct text manipulation to hands-off co.. read more  

Link
@faun shared a link, 7 months, 3 weeks ago
FAUN.dev()

Top Tech Conferences & Events to Add to Your Calendar in 2025

Check out TechRepublic's events guide for a list of upcoming conferences, some of which are in-person and others that are virtual or hybrid. This list will be updated periodically to include new events and details... 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.