Why do software companies build with slashdev.io? 🚀 Senior Engineers with 5-10 Years of Experience 💸 Unrivaled Value: $35-$45 per hour. “We were able to get an excellent senior developer at a fraction of the price we would pay in the USA... and we started working together the next week” -Stuart CCT #software #developers #react #developer #programming

Dwarkesh Podcast just dropped a conversation with a top AI researcher on "What Happens When AI Can Do Your Job Better Than You." I've been thinking about this one all week. We're already watching it unfold with clients. Not layoffs — something quieter. Engineers who used to be the go-to person for a certain problem... aren't anymore. And nobody's talking about it openly. The episode barely scratches the surface of what that does to a team psychologically. It's not about job security. It's about identity. And most companies have no playbook for that conversation. We started having it explicitly. Monthly. What are you building that only you could build? Where is your judgment irreplaceable? Those conversations are now part of how we run teams. I don't think the threat is job loss. I think the threat is engineers who stop growing because AI does the growing for them. What are you doing to keep your team's edge sharp? Check the link here: youtube.com/@DwarkeshPatel Dwarkesh Patel, Dwarkesh Podcast

Speed is the ultimate feature. If you aren't first, you're invisible. ⚡ Anthropic just dropped Claude Fable 5—the first-ever Mythos-class model featuring a 1M token context window and an 80.3% on the SWE-Bench Pro. It is an absolute beast. Every developer is racing to integrate it right now. But here is the harsh reality: most will spend the next three weeks wrestling with backend routing, debugging API connections, and fighting with UI state. By the time they launch, the 7-to-14-day hype window will be completely closed. I didn't wait. I used AI App Builder and launched a fully functional Fable 5 app just 5 days after the release. Swipe to see how I skipped the weeks of boilerplate debugging and wired a premium, dark-mode chat interface directly to the new API using a single prompt. 👉 Agencies easily charge $10K for this exact setup. You can build yours this weekend. Want to use the tool I used to ship this fast? Comment "PRO" below, and I’ll DM you a link for a free month of AI App Builder Pro. 👇 #Anthropic #ClaudeFable5 #AIAppBuilder #SoftwareEngineering #TechStartups #GenerativeAI #ProductManagement #SaaS #BuildInPublic

Playing it safe keeps you exactly where you are. Taking risks takes you where you want to be. ⚡ Don't let the warmth of your comfort zone blind you to the massive opportunities outside of it. Every game-changing innovation we rely on today was born because someone decided to push past their fear of the unknown and build something new. The formula is simple: 1️⃣ Envision. 2️⃣ Risk. 3️⃣ Adapt. 4️⃣ Grow. You don't have to eliminate fear, but you do have to move forward despite it. Keep pushing boundaries. 🚀 . . . #Growth #RiskTakers #Innovation #Startups #Founders #ComfortZone #TechCommunity #SlashDev

Acquired just released their deep dive on Anthropic — the company, the thesis, and what it means if they're right. I've been thinking about the second-order effects ever since. One line hit differently: they described Anthropic not as a product company but as a company asking how humanity decides to use intelligence. That's the part most businesses miss when they talk about AI strategy. They're asking "what can AI do for us right now?" The smarter question is: "what kind of organization do we become if AI handles 40% of our output?" We started asking that question 18 months ago. It changed what we hired for, what we measured, and what we said no to. The companies that figure this out early will have a structural advantage that compounds. Most AI conversations are about tools. The real conversation is about what your company is for. What question should founders actually be asking about AI right now? Check the link here: youtube.com/@AcquiredFM Ben Gilbert & David Rosenthal, Acquired

Stop paying for 8 different AI tools and subscription services. 🛑 The current AI developer toolkit is completely fragmented. Between paying $20/month for a premium coding client, managing three separate API keys for Claude, GPT, and Gemini, and wrestling with complex infrastructure to self-host models, your monthly bill and mental overhead stack up fast. You don't need 8 subscriptions. You need one well-built codebase. A breakthrough open-source repository by Mario Zechner called pi-mono just hit 43,900 stars on GitHub by turning AI infrastructure into modular Lego blocks. Inside this single MIT-licensed repo, you get 6 interchangeable components: 💻 Coding Agent CLI: A built-in terminal agent to replace tools like Cursor or Codex. 🔗 Unified LLM API: Swap between Claude, GPT, Gemini, or Groq by updating a single parameter. No more provider lock-in. 🖥️ TUI & Web UI Libs: Build beautiful terminal and browser interfaces for your local agents. 💬 Slack Bot: A fully functioning AI assistant setup in under 50 lines of code. 🚀 vLLM Pods: Simple, integrated architecture to self-host any open-weight model. The builders who win the next phase of tech aren't the ones with the most subscription receipts—they are the ones who control their underlying infrastructure. Swipe through to see the exact code setup and feature breakdown. 👉 Want to clean up your dev stack this weekend? Comment "PI" below, and I’ll DM you the free open-source repository link instantly. 📥 #SoftwareEngineering #OpenSource #GitHub #AIInfrastructure #WebDevelopment #DevTools #CodingAgent #TechStartups #Python #JavaScript

An idea is just a spark. Execution is what builds the empire. 🏗️ Don't let your brilliant concepts sit in a notebook gathering dust. Every massive company you admire today was built by someone who decided to stop talking about their plans and start doing the actual work. The formula is simple: 1️⃣ Brainstorm. 2️⃣ Start. 3️⃣ Execute. 4️⃣ Scale. You don't just need a better idea, you need a relentless bias toward action. Keep executing. 🚀 . . . #Execution #Doers #Startups #Entrepreneurship #BuildEmpires #Founders #TechCommunity #SlashDev

No Priors just dropped "The Engineer of 2026: What the Role Actually Looks Like Now." I've been sitting with this one since it came out. We're already in that world. The engineers on our team who are thriving aren't the ones writing the most code. They're the ones setting the constraints, reviewing the output, and catching the things AI doesn't know it doesn't know. What the episode doesn't fully address: this requires a level of self-awareness most engineers haven't been trained for. Knowing what you don't know matters more now than knowing everything. We built a culture where "I'm not sure I understand this fully" is a respected thing to say out loud. Not a weakness. A checkpoint. It took time. It's worth it. The best engineers of the next decade won't be the fastest builders. They'll be the most honest about what they actually understand. What does your team's relationship with uncertainty look like right now? Check the link here: youtube.com/@NoPriorsPodcast Sarah Guo & Elad Gil, No Priors

Stop treating ChatGPT like a basic search engine. It's costing your team hours every week. ⏱️ The biggest myth in the AI space right now is that you can just "say what you want" and the model will magically figure it out. That is a recipe for disaster. Vague prompts always give you vague results. Prompt engineering is not just asking nicely. It is a structured, systematic approach to controlling what an LLM outputs at scale. If you want reliable, production-ready results, you need to implement these three layers: Role Context: Tell the model exactly who it is (e.g., "You are a senior copywriter") and state the goal upfront. Chain-of-thought: Force the AI to "think step by step" to significantly reduce reasoning errors before it generates an output. Few-shot examples: Give the model 2-3 exact input/output pairs so it can mimic your exact pattern without guessing. Stop accepting mediocre AI outputs. Ready to level up? DM me 'PROMPT' and I’ll share the exact framework and prompt templates we use in production. 📥 #PromptEngineering #ArtificialIntelligence #Productivity #TechStartups #LLMs #MachineLearning #OpenAI #FutureOfWork

Having a vision gives you direction. Showing up every day gives you results. 📈 Don't let the daily grind wear you down when the initial excitement fades. Every massive achievement you admire is simply the result of seemingly boring, repetitive actions done consistently over a long period of time. The formula is simple: 1️⃣ Plan. 2️⃣ Commit. 3️⃣ Execute. 4️⃣ Repeat. You don't need to make massive leaps every single day, but you do need to take daily steps to make your goals a reality. Keep showing up. 🔥 . . . #Consistency #Success #DailyHabits #Motivation #Founders #Mindset #TechCommunity #SlashDev

Lex Fridman just published a conversation with a leading AI researcher on "Where Software Engineering Is Actually Heading." I've been thinking about one line from it for days. He said: "In 5 years, the best engineers won't write the most code. They'll ask the best questions." We're already seeing this at the team level. The engineers producing the most value aren't the fastest typers anymore. They're the ones who can break a problem down, prompt precisely, and review critically. That's a different skill set than what most engineering interviews test for. And most companies haven't updated their process. We changed our hiring process 6 months ago. We stopped asking candidates to write code from scratch. We started giving them AI-generated code and asking them to find what's wrong. The results were eye-opening. I don't think this shift is 5 years away. I think it's already here. What does "a great engineer" look like in your org today? Check the link here: youtube.com/@lexfridman Lex Fridman Podcast

The future of AI isn't one massive model. It's teams of specialized agents arguing with each other. 🤖📊 Right now, a trending open-source repo (TauricResearch/TradingAgents) is proving this concept in one of the most ruthless environments on earth: the stock market. Most developers are still trying to force a single LLM to do everything—analyze data, check risk, and make a decision. That leads to hallucinations and massive errors. This repo takes a completely different approach. It runs a 6-Agent AI Hedge Fund. Before a single trade is proposed, the system forces a debate between: 📈 Technical Agent: Studies the charts. 📰 Sentiment Agent: Reads the news & social media. 🏢 Fundamentals Agent: Reads the financial reports. ⚖️ Risk Manager: Pushes back if the position size is too aggressive. They debate, cross-check, and only act on consensus. The real secret? This architecture isn't just for finance. The exact same multi-agent debate pattern will dominate Legal, Medical, and Marketing tech in the next 12 months. Swipe through to see exactly how these agents interact under the hood. 👉 Want the free, MIT-licensed open-source repo to study the code? Comment "AGENTS" below, and I’ll DM you the link instantly. 📥 (Note: Educational purposes only. Study the architecture, run it on paper trading, do not risk real money). #SoftwareEngineering #MultiAgentSystems #AIArchitecture #MachineLearning #OpenSource #GitHub #TechTrends #LLMs

Success validates your current path. Failure builds the foundation for your future. 🧱 Don't let a major setback convince you to pack it up and quit. Every revolutionary product you use today was built on top of countless scrapped ideas and hard-learned lessons. The formula is simple: 1️⃣ Try. 2️⃣ Fail. 3️⃣ Learn. 4️⃣ Rebuild. You don't have to get it right the first time, but you do have to take the lesson to move forward. Keep building. 🛠️ . . . #Failure #Resilience #Builders #Startups #GrowthMindset #Founders #TechCommunity #SlashDev

TWIML AI Podcast just released an episode on "AI in Production: What Nobody Tells You." I've been thinking about this one all month. We're living it at our agency. Clients come to us with AI-generated features already in prod. Fast to build. Slow to debug. And when something breaks at 2am, nobody owns it. What the episode misses is the accountability gap. It's not that AI writes bad code. It's that AI code has no author. And code without an author has no owner. We set a rule when we started using AI tools: the engineer who prompted it, ships it, owns it, monitors it. If you didn't understand the output, you didn't finish the job. I don't think AI in production is the risk. I think shipping without comprehension is. And right now that's happening everywhere. Where are other technical teams drawing the ownership line? Check the link here: youtube.com/c/twimlai Sam Charrington, TWIML AI Podcast

Stop letting your AI coding agent burn your token budget alive. 💸 If you are using Claude Code on a repository with over 50,000 lines of code, you already know the pain. Every time you ask a question, it grep-searches through dozens of files. It takes 30 seconds of waiting, and it burns tens of thousands of tokens before it even starts writing code. That is slow, expensive, and completely outdated. A new open-source MCP server (zilliz/claude-context) just fixed this overnight, and it's already sitting at 10,600 stars on GitHub. Instead of blind file scanning, it uses a Milvus Vector Database to create a searchable semantic index of your entire codebase. The Old Way: 30-second wait times 50,000 tokens burned per query. The New Way: Instant answers 98% fewer tokens used. It installs with one line of code and works across Claude Code, Cursor, Windsurf, and Cline. Swipe to see the exact before-and-after difference this makes on your workflow. 👉 Want the free, MIT-licensed open-source repo? Comment "CONTEXT" below, and I’ll DM you the link instantly. 📥 #SoftwareEngineering #ClaudeCode #VectorDatabase #Milvus #DeveloperTools #AI #MachineLearning #OpenSource #GitHub

A good idea gets you into the game. Adaptability is what keeps you winning. 🏆 Don't let stubbornness keep you tied to a failing strategy. The ones who refuse to pivot when the market shifts will always be left behind, wondering what went wrong. The formula is simple: 1️⃣ Assess. 2️⃣ Pivot. 3️⃣ Execute. 4️⃣ Evolve. You can't control every obstacle in your way, but you can always control how you react to them. Keep thinking different. 🧠 . . . #Mindset #Adaptability #GrowthMindset #Founders #Success #BusinessStrategy #TechCommunity #SlashDev

Latent Space just dropped an episode on "The Death of the Junior Developer." I've been sitting with this one all week. We're seeing it play out in real-time. Teams shipping 3x more code with half the headcount. But the bugs that slip through? Nobody on the team has the depth to catch them. That's the part the episode only touches on. It's not about velocity. It's about whether your team still has the judgment to know when the AI is confidently wrong. We made a call early: every AI-assisted PR needs a human who can defend every line in a code review. If you can't explain it, it doesn't merge. Simple rule. Harder than it sounds. I don't think junior developers are dying. I think the definition of "junior" is being rewritten. And most teams haven't updated their hiring bar to match. Curious how other engineering leads are thinking about this. Check the link here: youtube.com/@LatentSpacePod Swyx & Alessio, Latent Space — The AI Engineer Podcast

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The #1 trending repo on GitHub right now is literally just 3 sentences long. 🤯 Most developers are struggling with AI agents confidently writing broken code that takes 5 revisions to fix. Meanwhile, Matt Pocock just open-sourced his personal .claude directory, and it broke the internet—gaining over 13,000 stars in a single week. The secret? A battle-tested skill called "grill-me." Instead of letting Claude dive straight into writing code, these 3 sentences reprogram the AI to stop, interrogate your plan, ask 16 to 50 clarifying questions, and resolve dependencies before it writes a single line. Without the skill: Confident wrong output requiring constant rewrites. With the skill: Every assumption challenged, resulting in production-quality code on the first try. Swipe through to see the exact 3 sentences and how to install the other 20 battle-tested skills from this repo. 👉 The devs paying attention to this are already outputting 10x more than those who aren't. Want the direct link to the repo? Comment "SKILLS" below, and I’ll DM it to you instantly. 📥 #GitHub #SoftwareEngineering #ClaudeCode #AI #DeveloperTools #TechStartups #MachineLearning #OpenSource #Coding