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@kala shared a link, 2 months, 3 weeks ago
FAUN.dev()

Building a TUI is easy now

Hatchet usedClaude Code, a terminal-native coding agent, to build and ship a real TUI-based workflow manager - fast. Like, days-fast. Powered by theCharm stack(Bubble Tea, Lip Gloss, Huh), it leans hard into CLI-heavy development. Claude Code handled live testing intmux, whipped up frontend views fr.. read more  

Building a TUI is easy now
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@kala shared a link, 2 months, 3 weeks ago
FAUN.dev()

GPT-5.2 derives a new result in theoretical physics

GPT-5.2 Pro spotted something wild: a nonzero gluon scattering amplitude in the half-collinear regime. That’s supposed to vanish, according to standard QFT gospel. Not anymore. OpenAI’s own model backed it up with a formal proof. Humans triple-checked it analytically. And yep - it holds. Now it’s bl.. read more  

GPT-5.2 derives a new result in theoretical physics
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@devopslinks shared a link, 2 months, 3 weeks ago
FAUN.dev()

The future of software engineering is SRE

Agentic coding and no-code tools are everywhere now. Building features? Easier than ever. The harder part is keeping systems solid once they’re out in the wild. The real game:maintainability, reliability, and evolutionunder real pressure - not just building, but keeping it together over time... read more  

The future of software engineering is SRE
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@devopslinks shared a link, 2 months, 3 weeks ago
FAUN.dev()

Owning a $5M data center

Comma.ai just dropped the specs on its hand-rolled ML data center. Picture this: 600 homegrown GPU rigs (TinyBox Pros), 4PB of flash. The whole thing trains on a PyTorch stack they built themselves, wired up with a custom model tracker and job scheduler they namedMiniray. Inference runs through dyna.. read more  

Owning a $5M data center
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@devopslinks shared a link, 2 months, 3 weeks ago
FAUN.dev()

From Paging to Postmortem: Google Cloud SREs on Using Gemini CLI for Outage Response

Google Cloud SREs just leveled up their incident response game with theGemini CLI- an LLM-fueled terminal sidekick built onGemini 3. It jumps in fast: drafts mitigation playbooks, digs into root causes, and cranks out postmortem reports. All withhuman-in-the-loopguardrails to keep things sane... read more  

From Paging to Postmortem: Google Cloud SREs on Using Gemini CLI for Outage Response
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@devopslinks shared a link, 2 months, 3 weeks ago
FAUN.dev()

GitHub Actions Is Slowly Killing Your Engineering Team

A seasoned CI engineer lays into GitHub Actions - too fragile, too fuzzy, too slow. Logs glitch. YAML confuses. Compute chokes. It solves for convenience, not power. Buildkitesteps in with stronger bones: reproducible runs, clean orchestration, and scalable agents you control... read more  

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@devopslinks shared a link, 2 months, 3 weeks ago
FAUN.dev()

Why does SSH send 100 packets per keystroke? ·

The default macOS SSH client now floods connections withSSH2_MSG_PING “chaff” packets- a 2023 privacy tweak meant to hide keystroke timing. Nice in theory. In practice? It tanks performance for real-time terminal apps like games built on Bubbletea over SSH. Turning it off - either through client fla.. read more  

Why does SSH send 100 packets per keystroke? ·
News FAUN.dev() Team
@kala shared an update, 2 months, 3 weeks ago
FAUN.dev()

GitHub Launches Copilot SDK to Embed Agentic AI into Any Application

GitHub Copilot GitHub Copilot SDK

GitHub has released the Copilot SDK in technical preview, allowing developers to embed Copilot’s agentic execution loop into their own applications. The SDK supports multiple AI models, real-time streaming, and languages like Python, TypeScript, Go, and .NET, but currently requires a Copilot subscription and is intended for development and testing rather than production use.

GitHub Launches Copilot SDK to Embed Agentic AI into Any Application
News FAUN.dev() Team
@varbear shared an update, 2 months, 3 weeks ago
FAUN.dev()

VillageSQL Launches: A Drop-In MySQL Fork Bringing Extensions and AI to the Core

VillageSQL MySQL

VillageSQL is a drop-in, open-source fork of MySQL that introduces a true extension framework, enabling permissionless innovation for AI-era workloads. It allows developers to add custom data types and functions - with vector indexing and search on the roadmap - bringing MySQL closer to PostgreSQL-style extensibility without waiting for core upstream changes.

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@kala added a new tool GitHub Copilot SDK , 2 months, 3 weeks ago.
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.