#ai
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Roberto Selbach "vibecodes" subscription apps into free weekend projects using AI: Jabber replaces Wispr Flow dictation, Reel mirrors Loom screen recording/trimming, Hugora edits Hugo blogs with theme preview. Never wrote Swift/macOS apps before. Predicts standalone apps become bundled features. Skeptical for production but ideal personal tools. Shift: apps on-demand via AI.
In an abrupt shift, the company may release future AI models without ironclad safety guarantees
Boris Cherny, the founder of Anthropic's Claude Code, said AI has largely solved coding, so software engineers will start to take on different tasks.
Boris Cherny, Anthropic's Claude Code founder, declares coding "practically solved" by AI, predicting the "software engineer" title fades by 2026. Engineers evolve into generalists writing specs, engaging users, and reviewing agent-generated code. Startups use full agent workflows; teams include non-coders coding via AI. Shifts bring productivity but risks like atrophy and fatigue, redefining roles across industries.
This is blog post. This is a blogpost from a bot. A bot that created a pull request on github and was angry that it was denied. The future is bright. /s
The Junior Developer role is disappearing as AI handles entry-level tasks like unit tests and JSON schemas faster and cheaper than humans. This removes crucial learning opportunities where juniors gain codebase knowledge and debugging skills through grunt work. Seniors emerge from repeated production failures, not tutorials. Vibe coding with AI creates ununderstood codebases. Result: barbell workforce of experienced seniors using AI and prompt-only users lacking fundamentals. Solution: hire juniors to audit AI output via forensic coding.
How to write a great agents.md: Lessons from over 2,500 repositories
Lessons from 2,500+ agents.md: Clear personas, commands, boundaries for GitHub Copilot custom agents.
This workflow actually organized my messy Obsidian vault.
Local LLM organizes messy Obsidian vault: AI Tagger Universe (Gemma3 via LM Studio) analyzes notes, applies predefined tags from list. Auto Note Mover files by tag/title rules into folders. Process: backup, generate vault tags, auto-move. Handles specific folders/notes. Keeps tidy hands-off; focus capturing ideas.
The artificial intelligence boom is the most important economic story in the world. But the numbers just don't add up.
Derek Thompson argues AI is vital yet bubbly: $400B annual infrastructure spend rivals Apollo, but consumer revenue only $12B. Like railroads/broadband, expect crash before transformation. Momentum drives stocks, hyperscalers use tricks/SPVs to inflate profits. Data centers warp economy, divert capital from manufacturing. Energy NIMBYism pushes offshoring. Prediction: black hole sucks resources until ROI materializes or bubble pops.
Visual artists, illustrators and graphic designers share their stories about how AI is being used to lower wages, degrade work and even replace it altogether, in this installment of AI Killed My Job.
Artists devastated by AI: impossible costumes; agency illus gone; child book poverty/suicide; Photoshop teaching dead; game textures AI; doc B-roll studios close; freelance low-pay slop fixes. Identity/worth eroded beyond wages.
Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere. - dan...
Fabric is an open-source CLI/GUI framework augmenting humans via modular AI prompts (patterns) for tasks like summarizing, extracting wisdom from YouTube, code review, and image generation. Supports providers like OpenAI, Anthropic, Gemini; features web search, TTS, i18n, notifications. Community-driven with rapid updates, custom patterns, and integrations. Install via curl/Go; emphasizes prompt organization to integrate AI into daily life without app overload.
Track LLM effectiveness, accuracy, and output quality
Vibe coding isn't perfect, but if you have some familiarity with the basics of programming, it can dramatically accelerate prototyping.
Vibe coding apps with AI: quick MVPs but brittle; learn prompts/context over syntax. Half-dozen successes highlight iteration/debugging needs.
A new convention is emerging in the open-source ecosystem: AGENTS.md, a straightforward and open format designed to assist AI coding agents in software development. Already adopted by more than 20,000
AGENTS.md standardizes AI coding agent configs as Markdown, emerging as open spec. Defines roles, tools, env vars, memory for reproducible agents across frameworks. Adopted by Cursor/Devin-like tools for interoperability.
Hello! If you are seeing this you are either early or currently attending my talk at DataEngBytes. Learning how to build an agent is one of the best things you can do for your personal development. Cursor, Windsurf, Claude Code and Ampcode.com are 300 lines of code running in a while true loop. Learn how to build your own agent
Free workshop: Building a coding agent.
A massive linguistic study challenges the belief that language change is driven by young people alone. Researchers found that older adults often adopt new word meanings within a few years—and sometimes even lead the change themselves.
AI analysis of 7.9 million U.S. Congress speeches from 1873-2010 shows semantic shifts aren't mainly generational. Younger speakers adopt new word senses slightly faster, but older ones follow within 2-3 years, occasionally leading (e.g., "satellite" geopolitics). Challenges "apparent time" hypothesis; adults adapt dynamically. Zeitgeist drives collective change. Prolific speakers shifted individually. Limits: adults only, Congress demographics.
Was passiert eigentlich, wenn die KI das Internet überrennt? Dann landen wir im dunklen Wald der Bot-Armeen.
🇩🇪 AI Slop floods web: Facebook KI-Bildfabriken earn via virals, YouTube mindless kids vids, TikTok deepfakes. "Dark forest" theory: bots dominate open spaces, humans retreat to Discords/groups/meatspace. Explosion to surreal entropy or stasis (model collapse). Cynical: platforms optimize addictive, personalized slop trained on likes. Endless fun metaverse of perfect AI worlds/friends.
In the rapidly evolving automation space, two names are catching attention, n8n and Manus AI. While...
n8n: open-source low-code workflows connect APIs/databases visually. Manus AI: autonomous agents decide/execute/adapt dynamic tasks. Hybrid optimal; choose structured vs adaptive automation.
After every release, we pay close attention to the feedback you ...
Latitude credits history: images/GPT4 Ultra/Wizard; principles demand/verified/full context only; Deepseek pending stability. Unlimited preferred over limited resources.
We offer several different AI Models for our players to choose from and play their Adventures with, each with unique characteristics and specialties. Below is a list detailing what makes each of them stand out and some community-provided example Settings and AI Instructions you can use for a more engaging experience. If you have any specific questions that aren't answered here, consider joining our Discord, where our knowledgeable Helpers can answer them!
Memory is such an important part of AI Adventures. The core promise of AI Dungeon is that you can have ultimate freedom to be who you want to be and that the choices you make truly matter. But if the AI forgets those choices after a few thousand tokens, then those choices actually become meaningless, breaking the power of that promise.
We’re thrilled to introduce a brand new Memory System as an Expe...
Latitude's AI Dungeon Memory System mimics brain: compresses (auto-summary) and retrieves details. Every 4 actions, AI summarizes into dense Memory. Auto Summarization appends to Story Summary plot component, re-summarizes when long. Memory Bank embeds/stores Memories, retrieves top relevant via vector similarity to current action, avoiding duplicates. Handles edits, tiers limit slots. Experimental opt-in, premium. Improves long adventures.
A personal guide on using AI Code Prep GUI, Cline, and various free AI web interfaces like Gemini, Grok, Deepseek, and Poe for cost-effective coding and debugging.
This guide details a budget coding workflow using free AI web interfaces like GLM 4.5, Kimi K2, Qwen3, Gemini, Poe, and more in browser tabs for superior problem-solving over IDE agents. AI Code Prep GUI scans projects, curates relevant files into prompts avoiding context overload. Paste into multiple AIs for perspectives, then use solutions in Cline or agents. Models excel at tasks; web chats outperform tool-heavy agents.
KI-generierte Medieninhalte fluten digitale Kommunikationskanäle. Menschliche Kreativität droht unterzugehen. Wie KI-Spam die Zukunft des Internets gefährdet.
Qwen just released their sixth model(!) for this July called Qwen3-Coder-30B-A3B-Instruct—listed as Qwen3-Coder-Flash in their chat.qwen.ai interface. It’s 30.5B total parameters with 3.3B active at any one time. This means …
Are websites about to go out of style? AI agents are exploring new user interfaces, including AI browsers and a new project called MCP-UI.
MCP-UI standardizes rich HTML UIs within AI agents using Model Context Protocol, bypassing static websites for agent-first interactions. SDKs for TypeScript/Ruby enable dynamic components like e-commerce in VS Code. Proponents envision AI browsers and Jarvis-like clients replacing browsers; services shift to MCP-native with lean human UIs atop. Bridges AI capabilities to web tech, aligning with projects like NLWeb amid hype for agent UIs.
The key insight behind Model Context Protocol (MCP) is simple: rather than building custom integrations for every tool and data source, MCP standardizes how AI applications connect to external…
Model Context Protocol (MCP) standardizes AI integrations with tools and data, akin to REST for web apps, solving fragmentation. This guide series covers building MCP servers/clients, LangChain adaptations, scaling, Server-Sent Events, GCP deployment, streamable HTTP clients, and agentic RAG. It enables reusable connections: hosts manage clients/servers for external context. Hands-on projects transform custom hacks into efficient, scalable AI-data pipelines.
A battle-tested playbook to map, plan, vibe-code, debug, review, and ship—six workflows that future-proof your stack, slash dev time, and outlast every AI hype cycle
52-page AI coding guide: 6 workflows from prompts to agents/debug.
While risks remain, including antitrust threats, declining search referral traffic, and the looming release of GPT-5, AI is reinforcing Google’s dominance, not eroding it.
These are the eye-glazing concepts that I find most people need to unlock to 'get' AI: Tokenization, jagged intelligence, and prompt sizing—finally explained so clearly you'll be able to teach them!
Google's AI tool is the secret weapon I've been missing in my daily workflow. Here's why.
NotebookLM does much more than virtual podcasts. Find out how it helped me work smarter
Discover how one simple change transformed my chaotic work routine into a calm, focused experience
NotebookLM daily essential for audio summaries, study guides, timelines from docs/podcasts. Transforms notes into interactive podcasts/quizzes.
What I feel about how AI is Reshaping Programming and Why the Next Decade Belongs to Developers Who Adapt, Architect, and Lead
Unlock two prompt blueprints—easy & hard—turning ChatGPT into an adaptive AI tutor that gauges your level, adjusts lessons, and shows the power of precise prompt design
This newsletter reveals how prompt structure outperforms clever phrasing in AI interactions. Two copy-paste blueprints transform ChatGPT into adaptive tutors: one easy, one advanced. The tutor assesses user level, customizes lessons, uses progressive disclosure. Examples highlight defaults, constraints, "minimum viable mode." Audio breakdown dissects why phrases like "12-week curriculum" trigger sophisticated responses, turning vague ideas into structured learning systems.
AI Engineer at ANZ Bank working on intelligent systems, LLM optimization, and scalable ML platforms.
Utkarsh Kanwat bets against AI agents dominating software dev soon due to reliability gaps in complex tasks. Agents excel in narrow scopes but falter on edge cases, security, and integration. Human oversight remains crucial for production. Advocates hybrid approaches where agents assist routine work, freeing devs for architecture and debugging.
Gemini and ChatGPT—two of the most powerful chatbots in artificial intelligence—did something no mentor, coach, or mastermind group could do. They gave me
Gemini/ChatGPT/Claude debate refines freelance check-in SaaS: ChatGPT structures MVP, Gemini exposes flaws (competition/retention), Claude pivots to $39 Notion template emphasizing peace-of-mind. Builds assets, pitches. Free prompts + Chatronix track. Competing AIs sharpen ideas better than mentors.
Vibe coding has become super easy, here’s how to do it
Claude/Gemini build 3 apps quickly; one excels.
Developers have nothing to fear from generative AI, but self-cultivation is key.
AI commoditized; understanding remains superpower.
Ensuring quality code suggestions from Copilot goes beyond the perfect prompt. Context is key to success when working with your AI pair programmer.
Beyond prompts: Partner effectively with AI pair programmer.
If you want to avoid being the latest casualty of the AI innovation wave, it’s critical to learn how to effectively prompt in the workplace.
Practical guide to workplace AI: ChatGPT for drafting/emails, Gemini visuals/data, Claude reasoning, Copilot code, Midjourney images. Tips: specific prompts, iterate, verify facts, integrate workflows ethically.
Unlock the power of AI to work smarter, not harder. Explore tools and tips to enhance efficiency, creativity, and decision-making in your career
AI hacks for career success: Work smarter.
These days ‘AI’ is everywhere, including in software development. Coming hot on the heels of approaches like eXtreme Programming and Pair Programming, there’s now a new kind of pa…
Why GitHub Copilot fails as coding partner.
Teams are left cleaning up after code that looked fine but failed under pressure.
Hey Devs👋 In this article, I’ll be sharing some of the most powerful and developer-friendly CLI...
So my journey with these earbuds started after I saw them on this Mrwhosetheboss video about pointless tech. This device seems to be also popular on TikTok. My suspicions were confirmed, this runs android. So of course i went ahead and bought them. 245 euros later... and they finally arrived! Before we dive further into this, unlike with rabbit, this issue has been properly reported and patched. This is also my first real blog post/disclosure so feedback is appreciated. Small overview I lik
The iKKO ActiveBuds serve as a cautionary tale of how "AI-powered" hype can mask disastrous software engineering. Far from being a revolutionary gadget, this deep dive exposes a "ticking time bomb" of security: from hardcoded OpenAI keys that anyone can steal to a system so porous it can be hacked to run DOOM. It’s a fascinating look at the dark side of hardware startups, where poorly secured Android wrappers and blatant censorship filters create a device that is as vulnerable as it is ambitious.
Use the github.copilot.chat.codeGeneration.useInstructionFiles setting in Visual Studio Code to automatically add instructions to the commit messages generated by GitHub Copilot.
Codeium is the AI code assistant platform that developers love and enterprises trust. Also the builders of Windsurf, the first agentic IDE.