--- title: Best AI Engineering posts of 2025 | daily.dev description: The most upvoted AI Engineering posts of 2025, curated by the daily.dev community. canonical: https://daily.dev/tags/ai-engineering/best-of/2025 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/tags/ai-engineering/best-of/2025 og:type: website og:site_name: daily.dev og:title: Best AI Engineering posts of 2025 | daily.dev og:description: The most upvoted AI Engineering posts of 2025, curated by the daily.dev community. og:image: https://media.daily.dev/image/upload/s--VAY5ToZt--/f_auto/v1724209435/public/daily.dev%20-%20open%20graph --- # Best of AI Engineering — 2025 1. 1 [](/posts/breaking-into-ai-engineering-in-2025--93xjryfpi "Breaking into AI Engineering in 2025.") Article SwirlAI · 1y Breaking into AI Engineering in 2025. A comprehensive roadmap for becoming an AI Engineer in 2025, covering essential skills from Python fundamentals and LLM APIs to advanced topics like AI agents, RAG systems, and observability. The guide emphasizes learning fundamentals while building practical skills, starting with basic LLM integration and progressing through vector databases, prompt engineering, agentic systems, infrastructure deployment, and security considerations. Key recommendations include mastering FastAPI and Pydantic, understanding different LLM types and structured outputs, implementing RAG with proper data preprocessing, and learning agent design patterns like ReAct and task decomposition. 204 2 2. 2 [](/posts/learning-ai-engineering-in-2025-7jkb4r4gu "Learning AI Engineering in 2025") Article SwirlAI · 1y Learning AI Engineering in 2025 An AI engineering bootcamp instructor reflects on the success of their first cohort, sharing metrics like 40 hours of live lectures and 250 pages of materials. The program focuses on building production-ready AI systems end-to-end, with upcoming improvements including deeper evaluation focus, context engineering, guest lectures, and Modal cloud partnerships. The bootcamp targets data scientists, ML engineers, founders, and software engineers looking to transition into AI engineering. 130 2 3. 3 [](/posts/how-i-keep-up-with-ai-progress-and-why-you-must-too--2gx9udjpi "How I keep up with AI progress (and why you must too)") Article Lobsters · 1y How I keep up with AI progress (and why you must too) A comprehensive guide to staying informed about AI developments through curated sources and trusted experts. The author provides a structured approach to consuming AI information, starting with foundational sources like Simon Willison's blog and Andrej Karpathy's content, then expanding to official announcements from AI labs, high-signal practitioners in AI engineering, and specialized communities. The guide emphasizes staying close to primary sources, following trustworthy individuals, and building a balanced information diet to avoid both AI hype and dismissal. 46 6 4. 4 [](/posts/books-by-p99-conf-speakers-ai-engineering-latency-distribtuted-systems-more-6uxggtjoa "Books by P99 CONF Speakers: AI Engineering, Latency, Distribtuted Systems & More") Article P99 Conf · 1y Books by P99 CONF Speakers: AI Engineering, Latency, Distribtuted Systems & More A curated collection of technical books authored by P99 CONF speakers covering AI engineering, distributed systems, database performance optimization, latency reduction, and PostgreSQL query optimization. The books range from foundational concepts to advanced implementation techniques, with special discounts available through conference sponsors O'Reilly and Manning Publications. 35 5. 5 [](/posts/context-engineering-going-beyond-prompt-engineering-and-rag-0y6tbg0uj "Context Engineering: Going Beyond Prompt Engineering and RAG") Article The New Stack · 1y Context Engineering: Going Beyond Prompt Engineering and RAG Context engineering is a comprehensive approach to LLM development that goes beyond simple prompt crafting. It involves designing dynamic systems that manage everything an LLM sees before generating responses - including system instructions, conversation history, retrieved documents, tool outputs, and guardrails. Unlike prompt engineering which focuses on crafting individual queries, context engineering treats the entire context window as a curated information environment. It encompasses RAG as one component while addressing broader challenges like token budget management, information positioning, and maintaining consistency across varied inputs. This systematic approach transforms LLMs from basic chatbots into autonomous agents capable of complex reasoning and decision-making. 25 6. 6 [](/posts/build-a-multi-agent-network-with-agent2agent-protocol-guhovlzs0 "Build a Multi-agent Network with Agent2Agent Protocol") Article Daily Dose of Data Science | Avi Chawla | Substack · 1y Build a Multi-agent Network with Agent2Agent Protocol Learn how to build a network of AI agents using the Agent2Agent (A2A) protocol, which facilitates communication and collaboration among agents. The tutorial demonstrates how to serve agents locally with specific skills, deploy multiple types of agents, and integrate client-side applications. The post also includes links to further resources and code examples. 25 7. 7 [](/posts/our-own-agents-with-their-own-tools--rvabofyzu "Our own agents with their own tools.") Article Irrational Exuberance · 2y Our own agents with their own tools. In 2025, the author explores building AI agents with tools for personal and work purposes. Starting with a chat interface, they shifted from TypeScript to a Python stack, using FastAPI, PostgreSQL, and SQLAlchemy. They developed tools allowing models to fetch weather data and webpage content. These trivial tools demonstrate the potential for enhancing daily tasks when used with tool-aware agents. While these innovations can transform daily experiences, their broader application is still under consideration. 10 [See all AI Engineering archives](/tags/ai-engineering/best-of) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@graph":[{"@type":"CollectionPage","@id":"https://daily.dev/tags/ai-engineering/best-of/2025#page","url":"https://daily.dev/tags/ai-engineering/best-of/2025","name":"Best AI Engineering Posts of 2025","description":"The most upvoted AI Engineering posts of 2025, curated by the daily.dev community.","isPartOf":{"@type":"WebSite","url":"https://daily.dev"}},{"@type":"ItemList","@id":"https://daily.dev/tags/ai-engineering/best-of/2025#items","numberOfItems":7,"itemListElement":[{"@type":"ListItem","position":1,"url":"https://daily.dev/posts/breaking-into-ai-engineering-in-2025--93xjryfpi","name":"Breaking into AI Engineering in 2025."},{"@type":"ListItem","position":2,"url":"https://daily.dev/posts/learning-ai-engineering-in-2025-7jkb4r4gu","name":"Learning AI Engineering in 2025"},{"@type":"ListItem","position":3,"url":"https://daily.dev/posts/how-i-keep-up-with-ai-progress-and-why-you-must-too--2gx9udjpi","name":"How I keep up with AI progress (and why you must too)"},{"@type":"ListItem","position":4,"url":"https://daily.dev/posts/books-by-p99-conf-speakers-ai-engineering-latency-distribtuted-systems-more-6uxggtjoa","name":"Books by P99 CONF Speakers: AI Engineering, Latency, Distribtuted Systems & More"},{"@type":"ListItem","position":5,"url":"https://daily.dev/posts/context-engineering-going-beyond-prompt-engineering-and-rag-0y6tbg0uj","name":"Context Engineering: Going Beyond Prompt Engineering and RAG"},{"@type":"ListItem","position":6,"url":"https://daily.dev/posts/build-a-multi-agent-network-with-agent2agent-protocol-guhovlzs0","name":"Build a Multi-agent Network with Agent2Agent Protocol"},{"@type":"ListItem","position":7,"url":"https://daily.dev/posts/our-own-agents-with-their-own-tools--rvabofyzu","name":"Our own agents with their own tools."}]},{"@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Tags","item":"https://daily.dev/tags"},{"@type":"ListItem","position":3,"name":"AI Engineering","item":"https://daily.dev/tags/ai-engineering"},{"@type":"ListItem","position":4,"name":"Best of","item":"https://daily.dev/tags/ai-engineering/best-of"},{"@type":"ListItem","position":5,"name":"2025"}]}]} ```