Why do software companies build with https://t.co/0m7SFhyCVh?
🚀 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
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. 🔥
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#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: https://t.co/UYnWfiUMeL
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. 🛠️
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#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: https://t.co/T4jalsUoL7
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. 🧠
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#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: https://t.co/ku3aWQxRdL
Swyx & Alessio, Latent Space — The AI Engineer Podcast
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
WAIT. This is actually insane.
A solo dev just won the Anthropic hackathon, shipped a working product in 8 hours with Claude Code, and walked away with $15,000.
Then he open-sourced the entire stack.
153,000 stars on GitHub. Here's full setup:
→ 38 specialized agents (planner, security reviewer, debugger, code reviewer)
→ 156 skills loaded on demand (/plan, /tdd, /security-scan, /quality-gate)
→ 72 custom slash commands
→ AgentShield: 1,282 security tests across CLAUDE .md, MCP configs, hooks, skills
→ 3 Opus 4.6 agents running red-team pipelines (Attacker, Defender, Auditor)
→ Continuous learning layer that builds confidence across sessions
→ Coverage across 12 language ecosystems
This is what Claude Code looks like when someone treats it like infrastructure instead of a chatbot.
AI coding assistants are incredibly fast. Unfortunately, they are also confidently wrong. 🛑
If you are using Claude Code (or any AI agent) right now, you already know the frustration. It writes code that fails on the first run, hallucinates APIs that don't exist, and pattern-matches instead of actually reasoning through the architecture.
You aren't alone. Andrej Karpathy (OpenAI Co-founder & ex-Tesla AI Director) spent months documenting these exact failure patterns.
The community took his insights and turned them into a single file: CLAUDE.md.
By dropping this one file into your .claude folder, you instantly reprogram how the agent thinks. It stops blindly guessing, starts asking clarifying questions, and checks its assumptions before writing a single line of code.
Swipe through to see exactly how this changes your output from broken code to production-ready logic. 👉
Want the open-source repo that already has 137,000+ stars? Comment "KARPATHY" below, and I’ll DM you the direct link. 👇
#SoftwareEngineering #ClaudeCode #AI #DeveloperTools #AndrejKarpathy #MachineLearning #OpenSource #GitHub #Coding