119 related articles
Building AI Engineering Skills from Sc…
A deep dive into 'ai-engineering-from-scratch,' the GitHub project with 38K+ stars that helps developers build real AI engineering skills through a Learn-Build-Ship methodology.

Is one-prompt app generation really that powerful? We break down three tiers of AI dev tools, expose the gap between demo and production, and compare top domestic platforms including Baidu Miaoda and Ant Lingguan.

Metaview engineer Nick Mayhew explains how to build self-evolving prompt systems: Markdown over rules, layered workflows to cut token costs, and agents that learn user preferences for human-centered AI recruiting.

A deep dive into ASE's core mechanism — the STATE_SYNC checkpoint token — and how it transforms stateless LLMs into stateful AI systems for complex multi-turn workflows.

At the Microsoft Research India summit, top experts explore the real progress of multimodal AI and embodied intelligence: fusing classical robotics with large models, healthcare AI deployment challenges, perceptual bottlenecks in reasoning, and possibilities beyond scaling.

Meta Muse Spark 1.1 deep dive: native multimodal architecture, platform tools, social data retrieval, e-commerce vision — Meta's first closed-source API model benchmarks against Anthropic Sonnet.

GPT-5.6 Soul Ultra used 64 parallel sub-agents to generate a proof draft for the Cycle Double Cover Conjecture in one hour. We break down the multi-agent pipeline and explain what's still missing before this counts as a real mathematical result.

DeepSeek V4 drops this month with native vision; OpenAI quietly cut GPT-5.6 reasoning budget; Anthropic extends Fable 5 access ahead of GPT-6; Seedance 2.5 hits 180s 4K video generation.

DeepSeek V4 Flash GA launches soon with native vision support; OpenAI admits GPT-5.6-Soul reasoning budget was quietly cut; Anthropic reopens Fable 5; ByteDance C-Dance 2.5 generates 3-min 4K video.
decisionrl: An Open-Source Reinforceme…
decisionrl is an open-source RL library for operational decisions, with built-in environments for inventory, pricing, supply chain, and OR baselines for comparison. Built on PyTorch, MIT licensed.

An orchestration Agent looped for hours, firing thousands of LLM calls and burning weeks of budget. Learn the root causes and practical defenses: circuit breakers, tiered budgets, and iteration limits.

LLMs answer questions; Agents actually get things done. This article breaks down the differences between LLMs, Chatbots, and Agents, explains the perceive–think–act architecture, and maps real-world use cases across education, finance, and healthcare.
Building an eGPU for Local LLM on a $1…
Building an eGPU for local LLMs on a $1,000 budget? This guide covers GPU selection, dock costs, RTX 3090 vs 3060 value, and top tools like Ollama and llama.cpp.

Vibe Coding lets non-technical users build software through natural language conversations with AI. Learn what it is, what you can create, and how to get started with your first mobile webpage project.

A deep dive into how Knowledge Kernel builds a deterministic factual substrate for multi-agent AI through layered decoupling of reality, evidence, facts, and reasoning — with dataset_hash fingerprinting, atomic reloads, and observable telemetry.

Hands-on with GPT-5.6 Sol: auto-generate real-time voice anime characters from one prompt, write physics engines from scratch, and build unfamiliar toolchains autonomously. In-depth review of coding, agentic tasks, benchmarks, and its hallucination weakness.

From pressing Enter to the first character appearing, what happens inside an LLM? This article breaks down autoregressive generation, KV cache acceleration, and decoding strategies like temperature, Top-k, and Top-p.

A developer builds a 3D editor from scratch in C++, modeling programs as dataflow graphs rather than object collections. Exploring dataflow vs. OOP, Greenspun's Tenth Rule, and the debugging dividend of visual programming.

Cursor is an AI-native programming tool deeply rebuilt on VS Code, integrating top LLMs like Claude and DeepSeek. It supports natural-language code generation, smart error fixing, and context awareness.

An in-depth comparison of AI companion apps TomoAI and Daimon: conversation experience, long-term memory, cross-platform support, and pricing to help you find the right AI companion.