<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Learn AI Engineering: new resources</title><description>Free resources recently added to the study tracks.</description><link>https://learnai.shivaanshagarwal.com/</link><item><title>Effective context engineering for AI agents</title><link>https://www.anthropic.com/research/effective-context-engineering-for-ai-agents</link><guid isPermaLink="true">https://www.anthropic.com/research/effective-context-engineering-for-ai-agents</guid><description>Treats the context window as a scarce budget and covers compaction, note-taking and sub-agents for keeping long-running agents focused.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>article</category></item><item><title>Contextual retrieval</title><link>https://www.anthropic.com/research/contextual-retrieval</link><guid isPermaLink="true">https://www.anthropic.com/research/contextual-retrieval</guid><description>Shows why chunks lose meaning when cut out of a document, and how adding short context to each chunk, plus BM25 and reranking, reduces failed retrievals.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>article</category></item><item><title>Building effective agents</title><link>https://www.anthropic.com/research/building-effective-agents</link><guid isPermaLink="true">https://www.anthropic.com/research/building-effective-agents</guid><description>Separates fixed workflows from agents, catalogues the common workflow patterns, and argues for the simplest design that works before reaching for autonomy.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>article</category></item><item><title>How we built our multi-agent research system</title><link>https://www.anthropic.com/research/multi-agent-research-system</link><guid isPermaLink="true">https://www.anthropic.com/research/multi-agent-research-system</guid><description>An engineering account of an orchestrator that fans out work to parallel sub-agents, with the costs, prompting lessons and evaluation approach that came with it.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>article</category></item><item><title>Prompt engineering interactive tutorial</title><link>https://github.com/anthropics/prompt-eng-interactive-tutorial</link><guid isPermaLink="true">https://github.com/anthropics/prompt-eng-interactive-tutorial</guid><description>Notebook-based exercises on prompting, from basic structure to formatting output and avoiding hallucinations. Do the chapters on output formatting for this track.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>course</category></item><item><title>AI Engineering (book)</title><link>https://huyenchip.com/books/</link><guid isPermaLink="true">https://huyenchip.com/books/</guid><description>A book on building applications with foundation models. Its chapter on RAG and agents is a thorough companion to Week 2; the author&apos;s page links to where it is sold.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>book</category></item><item><title>Streaming messages</title><link>https://platform.claude.com/docs/en/build-with-claude/streaming</link><guid isPermaLink="true">https://platform.claude.com/docs/en/build-with-claude/streaming</guid><description>How a model API streams tokens as server-sent events, which is the pattern your chat endpoint will pass through to the browser.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>docs</category></item><item><title>Multi AI Agent Systems with crewAI</title><link>https://www.deeplearning.ai/courses/multi-ai-agent-systems-with-crewai</link><guid isPermaLink="true">https://www.deeplearning.ai/courses/multi-ai-agent-systems-with-crewai</guid><description>A short course on splitting work across role-based agents with crewAI. Optional contrast to the LangGraph approach.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>course</category></item><item><title>FastAPI documentation</title><link>https://fastapi.tiangolo.com/</link><guid isPermaLink="true">https://fastapi.tiangolo.com/</guid><description>Docs for the Python web framework suggested for the project backend, including streaming responses and request validation.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>docs</category></item><item><title>Your AI Product Needs Evals</title><link>https://hamel.dev/blog/posts/evals/</link><guid isPermaLink="true">https://hamel.dev/blog/posts/evals/</guid><description>Makes the case that evaluation is the core loop of AI product work, and lays out levels of tests from unit assertions to human and model review.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>article</category></item><item><title>AI Evals: Everything You Need to Know</title><link>https://hamel.dev/blog/posts/evals-faq/</link><guid isPermaLink="true">https://hamel.dev/blog/posts/evals-faq/</guid><description>Answers to common practical questions about evals, from error analysis and labelling to choosing metrics and when to automate.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>article</category></item><item><title>Using LLM-as-a-Judge For Evaluation: A Complete Guide</title><link>https://hamel.dev/blog/posts/llm-judge/</link><guid isPermaLink="true">https://hamel.dev/blog/posts/llm-judge/</guid><description>How to build a model-based grader you can trust, starting from expert-labelled examples and measuring the judge&apos;s agreement with them.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>article</category></item><item><title>The Illustrated Transformer</title><link>https://jalammar.github.io/illustrated-transformer/</link><guid isPermaLink="true">https://jalammar.github.io/illustrated-transformer/</guid><description>A diagram-heavy explanation of the transformer, with self-attention, multiple heads and positional encoding built up one step at a time.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>article</category></item><item><title>Deep Dive into LLMs like ChatGPT</title><link>https://www.youtube.com/watch?v=7xTGNNLPyMI</link><guid isPermaLink="true">https://www.youtube.com/watch?v=7xTGNNLPyMI</guid><description>A long, detailed walk through the full stack of a chat model, from pretraining data and tokenization to sampling, post-training and why models hallucinate. Watch it in parts.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>video</category></item><item><title>[1hr Talk] Intro to Large Language Models</title><link>https://www.youtube.com/watch?v=zjkBMFhNj_g</link><guid isPermaLink="true">https://www.youtube.com/watch?v=zjkBMFhNj_g</guid><description>A one-hour, general-audience tour of what an LLM is, how it is trained and fine-tuned, where it is heading and where it can be attacked.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>video</category></item><item><title>Introduction to LangGraph</title><link>https://academy.langchain.com/courses/intro-to-langgraph</link><guid isPermaLink="true">https://academy.langchain.com/courses/intro-to-langgraph</guid><description>The official LangGraph course, covering graph state, persistence with checkpointers, and human-in-the-loop interrupts, with notebooks for each module.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>course</category></item><item><title>Langfuse documentation</title><link>https://langfuse.com/docs</link><guid isPermaLink="true">https://langfuse.com/docs</guid><description>Docs for an open-source LLM observability tool: traces across agent steps, token costs and prompt versions.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>docs</category></item><item><title>LangGraph documentation</title><link>https://docs.langchain.com/oss/python/langgraph/overview</link><guid isPermaLink="true">https://docs.langchain.com/oss/python/langgraph/overview</guid><description>Reference docs for graphs, persistence and memory stores; keep it open while rebuilding the agent.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>docs</category></item><item><title>Build an MCP server</title><link>https://modelcontextprotocol.io/docs/develop/build-server</link><guid isPermaLink="true">https://modelcontextprotocol.io/docs/develop/build-server</guid><description>The official quickstart that walks through writing a small server, registering tools and connecting it to a client.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>docs</category></item><item><title>What is the Model Context Protocol (MCP)?</title><link>https://modelcontextprotocol.io/docs/getting-started/intro</link><guid isPermaLink="true">https://modelcontextprotocol.io/docs/getting-started/intro</guid><description>The official introduction to MCP, its hosts, clients and servers, and what servers can expose to a model.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>docs</category></item><item><title>MemGPT: Towards LLMs as Operating Systems</title><link>https://arxiv.org/abs/2310.08560</link><guid isPermaLink="true">https://arxiv.org/abs/2310.08560</guid><description>Proposes managing an LLM&apos;s limited context like an operating system manages memory, paging information between fast and slow tiers. Skim for the memory model.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>paper</category></item><item><title>Build Real AI Projects: From First Python Script to Autonomous Agents (Advanced AI playlist)</title><link>https://www.youtube.com/playlist?list=PLGSKQmIKK2zQ</link><guid isPermaLink="true">https://www.youtube.com/playlist?list=PLGSKQmIKK2zQ</guid><description>A code-along series that starts from a local setup and builds an assistant step by step, adding a conversation loop, memory and streaming. Good for typing along rather than watching.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>playlist</category></item><item><title>Your Roadmap to Master Advanced AI (playlist intro)</title><link>https://www.youtube.com/watch?v=f0HBW-47wwU</link><guid isPermaLink="true">https://www.youtube.com/watch?v=f0HBW-47wwU</guid><description>The short opening video of the Advanced AI playlist, explaining what the series builds and in what order.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>video</category></item><item><title>Ollama</title><link>https://github.com/ollama/ollama</link><guid isPermaLink="true">https://github.com/ollama/ollama</guid><description>Runs open models locally behind a simple HTTP API, so you can build and test without paying per token.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>repo</category></item><item><title>Agent Harness Engineering</title><link>https://www.oreilly.com/radar/agent-harness-engineering/</link><guid isPermaLink="true">https://www.oreilly.com/radar/agent-harness-engineering/</guid><description>Argues that most of a coding agent&apos;s quality comes from the harness around the model, and that every mistake should tighten the harness so it cannot recur.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>article</category></item><item><title>OWASP Top 10 for LLM Applications</title><link>https://genai.owasp.org/llm-top-10/</link><guid isPermaLink="true">https://genai.owasp.org/llm-top-10/</guid><description>The community list of the most important security risks for LLM applications, each with examples and mitigations.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>docs</category></item><item><title>pgvector</title><link>https://github.com/pgvector/pgvector</link><guid isPermaLink="true">https://github.com/pgvector/pgvector</guid><description>The Postgres extension for storing embeddings and running nearest-neighbour search next to your relational data.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>repo</category></item><item><title>PostgreSQL: Full Text Search</title><link>https://www.postgresql.org/docs/current/textsearch.html</link><guid isPermaLink="true">https://www.postgresql.org/docs/current/textsearch.html</guid><description>The manual chapter on Postgres keyword search and ranking, the lexical half of a hybrid search.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>docs</category></item><item><title>Pydantic documentation</title><link>https://pydantic.dev/docs/validation/latest/get-started/</link><guid isPermaLink="true">https://pydantic.dev/docs/validation/latest/get-started/</guid><description>Docs for the Python data validation library used to define and check structured output schemas.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>docs</category></item><item><title>Ragas documentation</title><link>https://docs.ragas.io/en/stable/</link><guid isPermaLink="true">https://docs.ragas.io/en/stable/</guid><description>Docs for an open-source toolkit that scores RAG pipelines on things like faithfulness and context relevance.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>docs</category></item><item><title>12-Factor Agents</title><link>https://github.com/humanlayer/12-factor-agents</link><guid isPermaLink="true">https://github.com/humanlayer/12-factor-agents</guid><description>Principles for production LLM software, such as owning your prompts and control flow and keeping agents small and stateless where possible.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>repo</category></item><item><title>The lethal trifecta for AI agents</title><link>https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/</link><guid isPermaLink="true">https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/</guid><description>Explains why an agent with private data, untrusted content and a way to send data out can be tricked into leaking, and why removing one of the three is the dependable fix.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>article</category></item><item><title>Prompt injection (series)</title><link>https://simonwillison.net/series/prompt-injection/</link><guid isPermaLink="true">https://simonwillison.net/series/prompt-injection/</guid><description>A running series of posts on prompt injection attacks and defences. Read the earliest posts and a few recent ones.</description><pubDate>Tue, 27 Oct 2026 00:00:00 GMT</pubDate><category>article</category></item></channel></rss>