Chat with your AWS Bill
Chat up yourAWS billusing Amazon Q CLI. Get savvy cost optimization tips and let MCP untangle tricky questions—like how much your EBS storage is bleeding you dry... read more
Updates and recent posts about GPT-5.4.. Link
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Why is your Google Cloud SQL bill so high?
Point-in-time recoveryin Cloud SQL canballoonover 2 TiB of WAL logs from just 13 GiB of data. That hike in storage blows up costs quickly. Fine-tune your settings to trim the fat and save some cash... read more
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Software Delivery Governance and Compliance, but make it automated
Regulated industries wrestle with compliance hassles. They crave efficiency, not endless, mind-numbing audit checklists.Koslisteps in with a bold solution: ahorizontal tech approach. Why? At their core, software risks wear the same uniform across sectors—consider code peer-reviews and release contro.. read more
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How I use LLMs as a staff engineer
Copilotexcels at boilerplate code—think of it as a whiz-kid intern. But when tackling complex logic, it stumbles. EnterLLMs: masters of non-production code, boosting your workflow like black coffee... read more
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Remote Prompt Injection in GitLab Duo Leads to Source Code Theft
GitLab Duo, riding on Anthropic’s Claude, stumbled into aprompt injectionblunder. Sneaky instructions nestled in projects allowed hackers to swipe private data. The culprit?Streaming markdownteamed up with shoddy sanitization. This opened a door for HTML injection and shined a spotlight on the doubl.. read more
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Are Edge Computing and Cloud Computing in Competition?
Edge computingis climbing the ranks with a cool $380 billion market tag. The culprits?IoTandGenAI—those data-hungry beasts. But don’t toss your cloud computing just yet.Edge AIspruces things up: trims latency, cuts costs, bolsters security.Hybrid architectures? They cozy up to both edge and cloud, c.. read more
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AWS Cost Explorer now offers new Cost Comparison feature
AWS Cost Explorerjust got gutsy with itsCost Comparisonfeature. Spot those pesky month-to-month cost swings—no spreadsheet migraines required. It sniffs out usage, credits, you name it. And yes, still easy on the eyes... read more
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Automatically prioritize security issues from different tools with an LLM
Security backlogs resemble a garage sale—clutter everywhere and sorted more by desperation than priority. Here’s whereLLMsswoop in for smart triage. Choose your weapon: "naive" for speed, "bubble" for depth, orElofor that sweet balance. This way, you can organize chaos with logic, anchoring decision.. read more
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New Linux Flaws Allow Password Hash Theft via Core Dumps in Ubuntu, RHEL, Fedora
Wiz Researchpoked around in over150,000 cloud accountsand unearthed some jaw-dropping screw-ups in data exposure and pitiful access control... read more
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GitHub becomes go-to platform for malware delivery across Europe
Phishingschemes run rampant in Europe, withAdobecatching 29% of the hits andMicrosofthandling 26%. Meanwhile,GitHubemerges as the unlikely kingpin of malware delivery, flexing a 16% monthly rise. When it comes to AI, GenAI hacks its way to 91% usage. Yet, 25% still slam the door in Grok AI's face, o.. read more
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.
