#engineering rules
1449 related articles
Tutorials·2 min
Harness AI Engineering Programming: A Practical Guide to the Rules + Skills + Wiki + Changes Four-Layer System
Deep dive into Harness AI Engineering Programming: a Rules + Skills + Wiki + Changes four-layer system with Claude Code for automated, controllable enterprise development.
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Tutorials·2 min
AI Programming Post-Mortem: 6 Engineering Rules That Determine Project Success or Failure
Post-mortem from a real Android project built with AI tools, distilling 6 engineering rules—from cross-project context to local environment loops and API contracts—that determine AI programming success.
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·3 min
Decoding Reddit's Machine Learning Community Self-Promotion Mechanism: The Wisdom of Technical Community Governance
An in-depth analysis of Reddit r/MachineLearning's Self-Promotion Thread mechanism, exploring how technical communities balance member sharing with spam prevention through centralized management and experimental governance.
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·3 min
Persistent State Machines: How INT4 Memory Cells Reshape LLM Attention Mechanisms
Exploring how persistent state machines with INT4-quantized memory cells reshape LLM attention, breaking KV Cache memory bottlenecks for long-context inference on edge devices and high-concurrency scenarios.
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·4 min
Walsh Multi-Agent Trading System: How Risk Management Veto Power Ensures AI Autonomous Decision-Making Safety
Deep dive into the Walsh multi-agent trading system architecture, exploring how its risk management agent with veto power establishes safety boundaries for AI autonomous decision-making.
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·3 min
Six Months and 124 Iterations: Conquering Reactive Play in Breakout with PPO
An RL enthusiast spent 6 months and 124 iterations to achieve reactive play in Atari Breakout using PPO. A deep dive into PPO tuning challenges and real-world RL engineering.
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·2 min
MIT Research Finds: AI Financial Advice Quality Exceeds Expectations
MIT research shows AI financial advice is surprisingly reliable, excelling in basic financial planning. This article analyzes the findings, community skepticism, and practical boundaries for AI financial tools.
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·3 min
The Signal-to-Noise Ratio Crisis in Academic Communities: How Conference Season Drowns Out Technical Discussion
When ARR and EMNLP submission posts dominate 90% of community content, technical discussion suffers. Analysis of SNR decline in NLP communities and governance solutions.
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·3 min
Deep Dive into Gemini Robotics ER 2: Breakthroughs in Video Understanding and Multi-Robot Collaboration
Deep analysis of Google Gemini Robotics ER 2's three core breakthroughs: video understanding, tool orchestration, and multi-robot collaboration, exploring how embodied reasoning drives robots from passive execution to autonomous intelligence.
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·3 min
GPT-5.6 Dominates Math but Stumbles on Puzzle Games? Two API Settings Unlock 3x Performance
GPT-5.6 Sol conquers frontier math but struggles on ARC-AGI-3 puzzles. The fix? Not a smarter model, but two API settings that tripled scores and cut token costs 6x.
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·3 min
LLMs Rely on Tools for Math: Intelligence or a Shortcut?
When LLMs need calculators for math, is it intelligence or proof they can't compute? Exploring tool calling vs. human cognition and two frameworks for evaluating AI intelligence.
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·3 min
LLM Post-Training on an 8GB GPU: A Practical Guide to SFT, DPO, and GRPO
Learn how to complete LLM post-training on a consumer GPU with just 8GB VRAM, covering SFT, DPO, and GRPO methods using LoRA quantization and other techniques.
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·3 min
Explorative Modeling: How Best-of-K Training Strategies Improve Model Learning Efficiency
Explorative modeling lets models generate K candidate predictions and learn from the best one, introducing exploration into training. This article analyzes Best-of-K training strategy principles, applications, and challenges.
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·3 min
H-JEPA-LM: A Non-Generative Language Model That Predicts in Latent Space
Deep dive into H-JEPA-LM, a non-autoregressive language model that predicts in latent space using hierarchical abstraction and world-model-style planning, challenging mainstream LLM paradigms.
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·3 min
Building a GitHub Code Review Bot from Scratch: A Hands-On Guide to AI Agent Automation
A detailed guide on building a GitHub code review bot from scratch, covering cloud deployment, secure sandboxes, Vercel AI SDK, and multi-agent collaboration for automated development workflows.
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·3 min
The Fundamental Conflict Between Backpropagation and Continual Learning: Can Catastrophic Forgetting Ever Be Truly Solved?
Exploring the fundamental conflict between backpropagation and continual learning, analyzing the roots of catastrophic forgetting, limitations of current solutions, and whether local learning or neuromorphic computing can offer true breakthroughs.
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·3 min
EssayKraft Review: A One-Time Purchase Mac Academic Writing App with Built-in Reference Management
EssayKraft is a native Swift Mac/iPad academic writing app with built-in reference management, automatic citations, PDF/DOCX export, and one-time purchase pricing. Full review and comparison with traditional tools.
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·3 min
DeerFlow: Deep Dive into ByteDance's Open-Source Long-Horizon SuperAgent Framework
Deep analysis of ByteDance's open-source DeerFlow long-horizon SuperAgent framework, covering six core components, architecture design, use cases, and industry significance.
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·2 min
Tau Open-Source AI Coding Assistant: Integrating 22 Providers for Low-Cost Programming
Tau is an open-source AI coding agent integrating 22 AI providers with free models and low-cost plans, compatible with Claude Code's Skills, Plugins, and MCP Server ecosystem.
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·3 min
OpenAI's Git Optimization: Tackling Performance Bottlenecks in Massive Repositories
Analysis of how OpenAI optimizes Git for massive repositories, covering monorepo bottlenecks, partial clone, sparse checkout, fsmonitor, and practical tips for engineering teams.
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