Skip to content
TechRed.sh

Archives

All the articles I've archived.

2026 24
July 2
June 12
  • AI Vibe Coding vs The 5% Curse

    AI coding tools make starting projects effortless, but the last 5 percent - naming, scope, pricing, deployment - is where most projects stall. Here is why vibe coding feels productive but often fails to ship.

  • Is Dev Dead? Spoiler: No.

    A dev who does not type code all day can absolutely still be a dev. The job has simply evolved from keyboard monkey to problem orchestrator. Here is what modern developers actually do and what the next generation needs to learn.

  • Open-Source AI vs. Nerfed Cloud Gods - Do We Really Have to Settle?

    Open-source AI models are catching up fast, but closed models remain constrained by government regulations. The real question is - how much control do you want over your AI capabilities and guardrails?

  • Shrinking an Oversized Docker WSL2 Virtual Disk (When wsl --shutdown Fails)

    If you use Docker Desktop with the WSL2 backend on Windows, you may have noticed your storage space disappearing. Docker stores all its images, containers, and volumes inside a virtual disk file that grows but never shrinks automatically. This guide walks through cleaning up Docker, bypassing a stubborn WSL instance, and manually compressing the virtual disk to reclaim storage.

  • Fusion API - when too many LLMs spoil the code

    OpenRouter's Fusion API combines multiple models to reach Fable-level intelligence at half the price, but when it comes to coding, more models can mean more problems than solutions.

  • From Chess Bots to ChatGPT - How AI Went From Geek News to Daily Dependency

    AI was once headline news about chess and Go - now it's the coworker sitting in your browser. The story of how we went from watching machines beat grandmasters to having them write our code.

  • Delta, Palantir and the CI/CD Pipeline of War

    Ukraine's Delta system and Palantir's analytics platforms have turned modern warfare into a real-time data pipeline, where the kill chain operates like a CI/CD deployment - except the output is artillery strikes instead of code.

  • Mastercard Just Gave Your AI a Credit Card. What Could Go Wrong?

    Mastercard's new Agent Pay system lets AI agents make real payments on your behalf, marking a shift from AI suggestions to autonomous transactions. Here's what developers need to know about the security and architectural implications.

  • Mythos, Fable, and the Myth of the Perfect Dev AI

    Anthropic's new Mythos-class models and Fable 5 promise to be the most capable coding AI yet, but there are still fundamental limits to what LLMs can understand about your real-world projects. Here's what devs need to know.

  • Meta's AI Just Helped Hack Instagram. Still Think Security Is "Someone Else's Job"?

    Meta's AI support assistant was exploited by hackers to take over high-profile Instagram accounts, highlighting critical security vulnerabilities in AI-powered systems and the importance of proper access controls.

  • LMArena - when LLMs go fight club

    LMArena is a crowd-powered platform where AI models battle head-to-head on real user prompts. Instead of trusting vendor benchmarks, users vote on which model performs better in blind comparisons, creating one of the most referenced LLM leaderboards. Here's how it works, why developers use it, and what you should know before betting your product on its rankings.

  • RTX Spark + Surface Laptop Ultra - Nvidia just dropped a PC hand grenade

    Nvidia's RTX Spark brings Arm-based AI supercomputing to Windows laptops, and Microsoft's Surface Laptop Ultra is one of the first machines to ship with it. Here's what devs need to know about this new category of portable AI workstations.

May 10
  • Stop Comparing AI Models Like It's a Beauty Contest

    Everyone's comparing AI models based on single prompts and screenshots, but this approach is fundamentally flawed. Modern LLMs are non-deterministic, prompt-sensitive, and their performance varies wildly across tasks. Here's how to actually evaluate models properly.

  • Google I/O 2026, Day 2 - When the Hype Meets Your Git Repo (Part 2)

    Google I/O 2026 Day 2 shifted from vision to execution, unveiling Antigravity CLI, Android 17 agent tools, WebMCP standard, Chrome DevTools for agents, and a clear message: agents are coming to your toolchain whether you are ready or not.

  • Composer 2.5 - Cursor's Cheap Shot at Opus and GPT-5.5

    Cursor just pushed Composer 2.5, their new in-house coding model built on Moonshot's Kimi K2.5 checkpoint. It delivers Opus 4.7-level coding performance at a fraction of the cost, making it a compelling default for developers.

  • Gemma 4 In A Duck - 3D-Print Your Own Google I/O Robot

    Google I/O 2026 brought us Gemma 4 and Open Duck Mini - an open-source bipedal robot you can 3D-print for under $400. Combine them for a fully hackable embodied AI agent that walks, thinks, and doesn't depend on remote APIs.

  • Google I/O 2026, Day 1 - Gemini Eats Everything (Part 1)

    Google opened I/O 2026 by shouting "Gemini" at every product until the brand stuck to the walls. Day one was 100% "agentic Gemini era" with major announcements including Gemini Omni, Gemini 3.5 Flash, Antigravity 2.0, and Gemini Spark.

  • When Cursor Thinks Your Windows PC Is Linux

    Cursor often assumes a Unix-like shell on Windows machines, running bash commands like ls and grep in PowerShell. Here's how to force it to respect your Windows environment.

  • "Vibe Coding an App Until I Make $1,000,000": Cool trend or new-age hustle porn?

    Vibe coding in public is live coding with a YouTube thumbnail that screams "I am going to become rich in front of you." It's the Twitch version of build-in-public, where dev founders stream their journey to $1M ARR, with BridgeMind being the most visible example of this trend.

  • Caveman - why use many token when few token do trick

    Caveman is a Claude Code skill that forces your AI assistant to speak in short, efficient sentences, cutting 65-75% of output tokens while keeping full technical accuracy. It's semantic compression for LLM responses.

  • When AI walks through MIE like it's a beaded curtain

    Apple spent five years building Memory Integrity Enforcement (MIE) for M5 chips to kill memory corruption exploits. Calif's security team used Anthropic's Mythos Preview and built a working macOS kernel exploit that bypasses MIE in about five days.

  • llmfit, the Brutal Truth Machine

    Updated:

    llmfit is a tiny Rust tool that scans your CPU, RAM and (non‑existent) GPU, then tells you which local LLMs will actually run on your machine before you waste your evening downloading the wrong model.