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Browse 15 articles tagged with “python”.

Articles tagged “python”

15 articles

Person connecting protocol cables between two glowing devices with diagrams on a whiteboard

Learning AI·22 min read

Build the MCP + A2A agent protocol stack from scratch

Wire an MCP server to an A2A agent that delegates tasks and calls tools. TypeScript and Python examples, Streamable HTTP transport, Agent Cards, and auth.

Person sorting through stacks of documents, crossing out wrong ones, with a magnifying glass on the desk

Learning AI·22 min read

Agentic RAG: from dumb retrieval to self-correcting agents

Your RAG pipeline retrieves wrong documents and nobody catches it. Build a self-correcting agent that grades results, rewrites queries, and knows when to stop.

Person drawing a web of connected nodes on a glass wall with colorful sticky notes around the edges

Learning AI·22 min read read

Graph memory for AI agents: when vector search isn't enough

Build graph memory for AI agents in TypeScript and Python. Extract entities, track relationships over time, and compare Mem0, Zep, and Letta in production.

Person wearing a headset at a desk with sound waveforms visible on screen, golden amber atmosphere

Learning AI·22 min read

Voice AI pipeline: STT, LLM, TTS and the 300ms budget

Build a real-time voice pipeline with Pipecat. How STT, LLM, and TTS stream concurrently under a 300ms latency budget, with turn detection and interruptions.

Developer comparing AI agent framework options on a split-screen monitor

Agent Architecture·18 min read read

AI Agent Frameworks Compared: Which Ones Ship?

An honest comparison of 9 AI agent frameworks (LangGraph, CrewAI, Vercel AI SDK, Mastra, OpenAI Agents SDK, Google ADK, Microsoft Agent Framework, Pydantic AI, AutoGen) based on what developers actually ship to production in 2026.

Person exploring geometric shapes representing vector space

Learning AI·20 min read

Embeddings Turn Text Into Meaning. Here's the Math and the Code

What embeddings are, how similarity search works under the hood, and how to build a semantic search engine, from cosine similarity math to production vector databases.

Person building with tool components at a desk

Learning AI·20 min read

Function Calling: Build a Multi-Tool AI Agent from Scratch

Build a multi-tool AI agent from scratch using function calling across OpenAI, Anthropic, and Google. Runnable TypeScript and Python code, validation with Zod and Pydantic, and production hardening patterns.

Illustration of an AI agent navigating branching knowledge paths across interconnected document nodes

Learning AI·18 min read

Your RAG Pipeline Is Answering the Wrong Question

Naive RAG scores 42% on multi-hop questions. Agentic RAG hits 94.5%. The difference: letting the agent decide what to retrieve, when, and whether the results are good enough. Build both in TypeScript and Python.

Illustration of an engineer assembling context layers for an AI agent, with memory, tools, and knowledge sources flowing into a central pipeline

Learning AI·21 min read

Context Engineering Is What Your Agent Actually Needs

Prompt engineering hits a wall with production AI agents. Context engineering fixes it. Build a full context pipeline with memory, RAG, history compression, and tool resolution.

Illustration of a neural network with low-rank adapter matrices injected between layers, showing only a small percentage of parameters highlighted for training

Learning AI·19 min read

Fine-Tune a 7B Model for $1,500 (Not $50,000)

Full fine-tuning costs $50K in H100s. QLoRA on an RTX 4090 costs $1,500. Learn how LoRA and QLoRA let you train only 0.1-1% of parameters with nearly identical results, with working code for fine-tuning models that understand your agent's tool schemas.

Neural network distillation visualization showing a large teacher model transferring knowledge to a compact student model

Learning AI·16 min read

A 1B Model Just Matched the 70B. Here's How.

How to distill frontier LLMs into small, cheap models that retain 98% accuracy on agent tasks. The teacher-student pattern, NVIDIA's data flywheel, and the Plan-and-Execute architecture that cuts agent costs by 90%.

Claude AI agent development tools with code on a developer workspace

Agent Architecture·20 min read read

Claude 4.6 broke our production agent in two hours — here's what's worth the migration

A practical developer guide to Claude 4.6 — adaptive thinking, 1M context, compaction API, tool search, and structured outputs. Real code examples in TypeScript and Python for building production AI agents.

Illustration of two people reviewing an improvement chart together at a standing desk

Learning AI·20 min read

How to Evaluate AI Agents: Build an Eval Framework from Scratch

Build a working AI agent eval framework in TypeScript and Python. Covers LLM-as-judge, rubric scoring, regression testing, and CI integration.

Illustration of a diverse team collaborating around a whiteboard with code diagrams

Learning AI·20 min read

MCP Explained: Build Your First MCP Server in TypeScript and Python

Build a working MCP server from scratch in TypeScript and Python. Hands-on tutorial covering tools, resources, transports, and testing.

Illustration of a person organizing knowledge on a corkboard with connected notes

Learning AI·18 min read

RAG from Scratch: Build a Retrieval-Augmented Generation Pipeline

Build a working RAG pipeline from scratch in TypeScript and Python. Covers embeddings, chunking, vector search, and generation with real, runnable code.

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