Shashank Jain

You’re building Al agents without a system. That’s why they keep failing. Gartner expects over 40% of agentic Al projects to be canceled by the end of 2027. The model is rarely what kills them. Teams hook a prompt onto an API, call it an agent and hope. The difference between what works and what doesn’t? A system. 8 steps, in order: 1. Define the job. One problem, one user, one measurable win. 2. Design the brain. System prompt, role, guardrails. This is where most builds fail. 3. Pick the model. Reasoning effort vs speed vs cost. Stop overpaying for easy steps. 4. Add tools. APls, MCP servers, even other agents. 5. Give it memory. Short-term context plus long-term recall, so it improves with every run. 6. Orchestrate the flow. Triggers, retries, queues and agent-to-agent handoffs. 7. Build the interface. Chat, API or Slack. Meet users where work already happens. 8. Give enough time to test and evaluate. The step everyone speedruns is the most important one. The sheet is updated for August 2026. Save it for your next build.

#SoftwareEngineer #SoftwareDevelopment #Programming #Coding #Python AI GenerativeAI AIEngineer GenAI ClaudeCode CursorAI OpenAI Codex DeveloperLife TechLife CodingLife Programmer DevLife TechHumor SoftwareEngineering CodingMemes ProgrammerMemes TechMemes FutureOfCoding AIDevelopment DeveloperTools wecodeinpython

From document ingestion to retrieval, generation, and LLM-as-a-Judge — a complete RAG architecture for AI evaluations. #AI #AIEvals #GenerativeAI #GenAI #RAG RAGArchitecture LLM LLMEvaluation LLMOps AIEngineering MachineLearning ArtificialIntelligence AIDevelopment VectorDatabase LangChain LLMAsAJudge PromptEngineering MLOps TechArchitecture SoftwareEngineering Python GenAIEngineer AIEngineer OpenAI

Save this for your next AI project and share it with someone building AI applications. AI agents are more than just LLMs. A production-ready AI Agent Harness orchestrates planning, memory, tools, model routing, security, and observability to build reliable, scalable AI applications. Here’s a high-level architecture that brings all the essential components together—from API Gateway to Agent Orchestrator, MCP tools, Memory, Guardrails, and Response Generation. If you’re building AI agents, this architecture is a solid foundation for enterprise-grade systems. Save this for your next AI project and share it with someone building AI applications. (ai, aiagents, agenticai, aiagent, llm, genai, generativeai, artificialintelligence, machinelearning, rag, mcp, modelcontextprotocol, langgraph, langchain, openai, claude, gemini, python, softwarearchitecture, systemdesign, backend, developers, coding, tech, programming, vectorsearch, vectordatabase, promptengineering, aigateway, aiengineering)

Save it

This is the paradox of builders. While most people see “AI”, we see layers. Infrastructure. Protocols. Agents talking to agents. Memory that remembers. Reasoning that adapts. Guardrails that keep things sane. Governance that decides who pays when the tokens burn. Agentic AI isn’t a model. It’s an ecosystem. From Infrastructure that keeps systems alive, to Agent Internet & Protocols that let agents collaborate, to Tooling, Reasoning, Memory, Applications, and finally Ops & Governance — where reality hits (costs, quotas, trust). This diagram isn’t complexity for the sake of complexity. It’s what happens when software starts thinking, acting, and coordinating. Most people will scroll past this. Some will share it. A few will stop and actually study it. If you’re the kind of person who looks at this and thinks: “Yeah… that makes sense” Welcome to the builder side. Because while the world is busy chasing vibes, we’re busy shaving milliseconds, designing systems, and quietly shaping what comes next. — Built, refined, and visualized by WeCodeInPython 🧠🐍 If this resonates, you’re already one of us. #AgenticAI #SystemDesign #AIArchitecture #BuildersMindset #GenAI AIEngineering SoftwareEngineering WeCodeInPython

Only engineers will understand this pain.

Kyun karta hai bhai AI se coding #coder #ai #copilot

😂😂