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🤖 LLM Agents are changing how software gets built.
It’s no longer just about generating text — modern AI agents can plan, remember, use tools, and take action to solve real problems.
From research assistants to automation workflows, DevOps copilots to customer support — this is where AI becomes truly practical. 🚀
As an AI Engineer, I build intelligent systems using LLM Agents, RAG, Python, and Full-Stack development to turn ideas into scalable products.
What would you build with an AI agent? 👇
#AI #LLMAgents #ArtificialIntelligence #GenerativeAI #RAG #PythonDeveloper #AIEngineer #MachineLearning #Automation #AIAutomation #FullStackDeveloper #OpenAI #LangChain #AIProducts #TechInnovation #Contra
Planning, memory, tools — LLM agents are no longer assistants. They're operators.🚀
100% 🚀 Chatbots answer. AI agents execute.
AI Agents = the next big shift in tech ⚡
Absolutely ⚡ We’re moving from AI that only responds to AI that can reason, plan, and take action. The shift is just getting started.
Tools don't build the future. Builders do 🔥
Facts 🔥 Tools amplify builders—they don’t replace them.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Spent all morning working on a editorial design system for AI only for it to produce a very mediocre result.
yay...
I tweaked the design and am now teaching AI how to work.
Not sure if this will work or not. WIsh me luck.
Impressive work. The typography, spacing, and layout choices create a premium feel.
AI Is Making Small Teams Dangerous
A few years ago, building a serious product needed a large engineering team.
Now?
A small team with the right AI workflow can move insanely fast.
One developer can:
- generate UI prototypes
- scaffold APIs
- automate testing
- write documentation
- build internal tools
- create marketing assets
The speed difference is becoming unreal.
The companies that adapt early will outperform much bigger competitors.
Not because they have more people.
Because they remove more friction.
#AITools #Automation #TechInnovation #SoftwareDevelopment #AIWorkflow
Yeah absolutely agree, Julia
An autonomous multi-agent orchestrator that reduces tailored job application generation from hours to under 5 minutes. Built on a LangGraph Planner-Researcher architecture, it features an LLM-as-a-judge feedback loop, resilient external tool calling with graceful failure, and full agent tracing via Langfuse to ensure production-level observability.
Interesting app! How does it manage the token cost?
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