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AI Engineer Programming
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AI Engineer Programming

In the AI era, defining problems is often more important than solving them; here we explore AI's contradictions, boundaries, and possibilities.

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Recent Articles

Latest from AI Engineer Programming

53 recent articles
AI Engineer Programming
AI Engineer Programming
Apr 5, 2026 · Artificial Intelligence

How Kimi, Cursor, and Chroma Use Reinforcement Learning to Train Agent Models

The article analyzes three recent technical reports—Moonshot AI's Kimi K2.5, Cursor's Composer 2, and Chroma's Context‑1—detailing how each system trains agent models with reinforcement learning, parallel orchestration, self‑summarization, and self‑editing, and highlights shared methodological themes and performance gains.

Chroma Context-1Cursor ComposerKimi
0 likes · 19 min read
How Kimi, Cursor, and Chroma Use Reinforcement Learning to Train Agent Models
AI Engineer Programming
AI Engineer Programming
Mar 31, 2026 · Artificial Intelligence

How AI Agents Achieve Self‑Evolution Through Context Engineering

The article defines AI Agent self‑evolution as an autonomous loop of perception, learning, and optimization, outlines its three evolutionary levels, key characteristics, core development components, reviews leading frameworks such as EvoSkill and DGM‑Hyperagents, and discusses safety laws for controllable evolution.

AI Agentautonomous systemscontext engineering
0 likes · 9 min read
How AI Agents Achieve Self‑Evolution Through Context Engineering
AI Engineer Programming
AI Engineer Programming
Mar 30, 2026 · Artificial Intelligence

Is GUI or CLI the Better Choice for Agent‑Native Interfaces?

The article analyzes how AI agents shift interaction paradigms from visual GUIs to structured, deterministic CLI protocols, citing tools like Claude Code, OpenClaw, and benchmark data that show CLI’s efficiency advantages while acknowledging the continued role of GUIs for human users.

AI agentsAgent NativeCLI
0 likes · 7 min read
Is GUI or CLI the Better Choice for Agent‑Native Interfaces?
AI Engineer Programming
AI Engineer Programming
Mar 29, 2026 · Information Security

Why AI Agents' API Keys Are a Massive Security Blind Spot

The article analyzes how AI agents often store raw API keys in environment variables, exposing them to prompt‑injection attacks, unchecked privileged actions, and amplified damage, and evaluates the OneCLI proxy‑based solution along with its limitations, technical challenges, and practical mitigation steps.

AI agentsAPI key securityOneCLI
0 likes · 11 min read
Why AI Agents' API Keys Are a Massive Security Blind Spot
AI Engineer Programming
AI Engineer Programming
Mar 28, 2026 · Artificial Intelligence

How to Start Training Your Own AI Model: A Complete Roadmap

This guide maps the end-to-end process for building a small AI model—from leveraging open-source base models and applying SFT with LoRA/QLoRA, through alignment techniques like DPO or ORPO, to low-cost distillation and final quantization for local deployment, while recommending free GPU resources and essential tooling.

AIAlignmentDistillation
0 likes · 12 min read
How to Start Training Your Own AI Model: A Complete Roadmap
AI Engineer Programming
AI Engineer Programming
Mar 25, 2026 · Artificial Intelligence

What Is an AI Agent? Definition, Core Capabilities, and Architecture

The article explains AI agents as autonomous systems that perceive environments, plan, use tools, iterate through action loops, and self‑reflect, contrasting them with traditional chatbots and workflows, and outlines their core abilities, memory types, tool‑use mechanisms, and single‑ versus multi‑agent architectures.

AI AgentLarge Language ModelMemory
0 likes · 8 min read
What Is an AI Agent? Definition, Core Capabilities, and Architecture
AI Engineer Programming
AI Engineer Programming
Mar 24, 2026 · Artificial Intelligence

Tool Calling 2.0: Autonomous Discovery and Multi‑Agent Workflow

The article traces the evolution from early function calls to Tool Calling 2.0, explaining how Model Context Protocol standardizes tool interfaces, how Agent‑to‑Agent communication enables multi‑AI collaboration, and how Skills combine tool orchestration into autonomous workflows, while also discussing remaining challenges such as intent misinterpretation and security risks.

AI SkillsAgent CollaborationAgentic Workflow
0 likes · 14 min read
Tool Calling 2.0: Autonomous Discovery and Multi‑Agent Workflow