106 related articles

Kopai is a no-code AI agent platform where experts upload knowledge to publish sellable AI agents, with per-message billing and 70% revenue share for creators.

A complete guide to building AI Agents from scratch based on real developer experiences: task selection, tool comparison (no-code vs frameworks vs hand-written), stability challenges, and evaluation criteria.

In-depth analysis of when brute force vector search beats vector databases. For RAG apps with under a few hundred thousand vectors, brute force offers exact recall, simpler architecture, and easier debugging.

AI Doomers warn AI will destroy humanity, but have they actually built AI apps? A developer's sharp critique reveals the vast gap between AI demos and real engineering practice.

Quranbookk is a free all-in-one Islamic web platform integrating digital Quran, high-precision Qibla finding, prayer times, and a Closed-RAG AI assistant. No download or registration needed.

Quranbookk is a free all-in-one Islamic web platform integrating digital Quran, high-precision Qibla finding, prayer times, and a Closed-RAG AI assistant. No download or registration needed.

PlayingFild is a Chrome extension that uses on-device ML to intelligently classify tabs by page content, separating work from leisure with focus timers, idle tab cleanup, and productivity analytics.

Explore how CodeCrucible uses LLMs to revolutionize static code security analysis (SAST), comparing traditional tool limitations with semantic-driven vulnerability detection.

Explore how CodeCrucible uses LLMs to revolutionize static code security analysis (SAST), comparing traditional tool limitations with semantic-driven vulnerability detection approaches.

Deep analysis of deploying LLM systems from prototype to production: a real-world AI incident investigation assistant case study revealing key engineering challenges beyond the model.

Deep analysis of deploying LLM systems from prototype to production: a real-world AI incident investigation assistant case revealing critical engineering challenges beyond the model.

How to learn AI Agent development from scratch? This article outlines a clear 3-step path: Python crash course, LLM theory & practice, and LangChain framework project implementation.

A beginner's guide to prompt engineering covering the four functions of prompts, the key differences from prompt engineering, a six-step systematic workflow, and critical technical and practical limitations.

Users report Grok 4.5 underperforms in Cursor vs. the official terminal. We analyze how system prompts, context management, parameters, and tool calling create AI coding tool integration gaps.

NanoClaw founder David Boyd breaks down the core engineering of enterprise autonomous Agents: a triple security isolation model, LLM Wiki memory design, and the real-world path from personal Agents to team-scale deployment.
Alibaba Open-Sources Code Review Tool …
Alibaba open-sources code review tool open-code-review, using a hybrid architecture of deterministic rule pipelines and LLM Agents. Supports line-level comments, OpenAI/Anthropic APIs, battle-tested at Alibaba scale, written in Go, fully free and open-source.
Pumpkin: A High-Performance Minecraft …
Pumpkin is an open-source Minecraft server rewritten from scratch in Rust. Learn how it eliminates Java GC pauses, reduces resource usage, and its current limitations.

A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.

A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.

From the autocomplete nature of LLMs, tokens, and context windows to RAG vector databases, the MCP protocol, and AI agent loop design — this article uses vivid analogies to unpack the reality of AI engineering.