#incremental code review
311 related articles
·4 min
Stop Shipping Skills Blindly! A Google DeepMind Engineer's Hands-On Guide to Agent Evaluation
Google DeepMind engineer Philip reveals: almost everyone uses coding agent Skills, yet almost no one writes evals for them. A deep dive into Skill evaluation methods, 8 actionable tips, and a real Gemini API case study.
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·5 min
AI Coding Getting Worse With Every Edit? Skills v1.1 Reveals the Real Cause and Solution
AI code getting messier with edits? The root cause isn't weak model capability but a lack of context and process. A deep dive into Matt Pocock's Skills v1.1: grilling, vertical-slice tickets, TDD, and WebFinder.
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·3 min
MLOps from Scratch: A 100-Day Learning Challenge Roadmap and Practical Guide
A college student's MLOps 100-day challenge documents the full journey from Python engineering and Git to Docker, model deployment, and monitoring. A practical roadmap for data scientists transitioning to ML engineering.
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·3 min
Pi Agent Review: A Minimalist Coding Agent That's Lightweight, Efficient, and Highly Customizable
Pi Agent hands-on review: ~1,200 token overhead, no built-in system prompts, supports Codex/Grok and more. Compared to Claude Code and OpenCode, Pi Agent wins with minimalist design and full customizability.
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·3 min
AI Second Brain Tech Stack: Building a Proactive Intelligent Assistant for ADHD Users
How to build a true AI second brain for ADHD users: LangGraph, n8n, RAG, vector databases, and layered architecture for a proactive personal assistant.
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The Guardian Angels Framework: How LLM…
·3 min
The Guardian Angels Framework: How LLM Personalization Can Achieve Both Efficiency and Data Security
The Guardian Angels framework shows how LLM personalization can achieve both productivity and data security through local deployment, differential privacy, and tiered permissions.
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·2 min
GPT-5.6 Deep Dive: A Qualitative Leap in Coding and Frontend Capabilities
A 1-billion-token deep dive into GPT-5.6 Solar Max reveals qualitative leaps in coding stability, Skills compliance, and frontend design. Includes version selection guide.
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Code Review Graph: Using Intelligent C…
·3 min
Code Review Graph: Using Intelligent Code Graphs to Deliver Precise Context for AI
Code Review Graph is a local-first open-source code intelligence graph supporting MCP and CLI. It reduces AI context noise in large repos with persistent graph structures.
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·2 min
Carmack × Sutton: Teaching AI Robots to Play Atari in the Real World
John Carmack and Turing Award winner Richard Sutton co-founded Keen Technologies. Their debut paper Physical Atari has robots playing real Atari games via cameras and mechanical controllers in real time.
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·3 min
Bun Rewrote a Million Lines of Code in 11 Days with Claude Code: A New Paradigm for AI-Assisted Programming
Bun author Jared Sumner used Claude Code's dynamic workflows to rewrite 1M+ lines of Zig code into Rust in 11 days for $165K — what 3 engineers would need a year to do.
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The Evolution of Coding Agents: A Para…
·2 min
The Evolution of Coding Agents: A Paradigm Shift from Reactive Response to Proactive Planning
Coding agents are evolving from reactive code completers to proactive planners. Explore the "think ahead of time" paradigm, Plan-and-Execute architecture, and its impact on developer workflows.
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·2 min
Why I Gave Up on Claude Code's Full-Auto Mode: Real-World AI Agent Experience and Safety Reflections
Real-world insights on Claude Code vs. OpenCode, practical tool combinations, and security risks of full AI Agent automation — with strategies for safe, stable workflows.
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Deep Dives
Deep Dive into OpenAI's Official GPT-5…
·3 min
Deep Dive into OpenAI's Official GPT-5.6 Prompting Guide: The Shift from Manual to Automatic
A deep dive into OpenAI's official GPT-5.6 Sol prompting guide: conciseness-first, outcome-oriented design, autonomy boundaries, tool routing, and reasoning intensity tuning.
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·2 min
AI Agent Development for Beginners: A Complete Three-Stage Learning Roadmap
A complete AI Agent development learning roadmap covering three stages: Fundamentals (environment setup, tool use, memory), Advanced (multi-agent systems, RAG, ReAct), and Practical Projects (enterprise chatbots, automation tools).
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·3 min
Complete Codex Practical Guide: From Getting Started to Enterprise-Grade AI Programming
Master OpenAI Codex end-to-end: CLI setup, slash commands, AGENTS.md design, MCP protocol, multi-agent coordination, and enterprise plugin development.
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·3 min
How to Test High-Risk Actions in AI Agents Before Going Live: A Complete Strategy Beyond Mocking
Mock testing can't cover the real side effects of high-risk, irreversible AI Agent actions. Learn sandbox environments, shadow mode, dry run, HITL, and more.
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·3 min
Expanding BERT Classification Categories: Three Incremental Fine-Tuning Strategies and Solutions to Catastrophic Forgetting
Expanding BERT classification categories? Compare three strategies—pre-declaring all classes, extending the classification head, and full retraining—plus solutions like EWC, data replay, and LoRA/Adapter to combat catastrophic forgetting.
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·3 min
GPT-5.6 and ChatGPT Work Launch: AI Evolves from Conversational Assistant to Task Executor
OpenAI launches the GPT-5.6 family (Sol/Terra/Luna), ChatGPT Work, a new desktop app, and Hosted Sites — marking AI's evolution from Q&A assistant to autonomous task executor.
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·6 min
A Beginner's Guide to Claude Code: Why Is It More Powerful Than Cursor and Trae?
Claude Code is Anthropic's local AI programming assistant that reads your entire codebase, auto-debugs, and delivers far higher accuracy than Cursor and Trae. Here's why it's the strongest AI coding tool today.
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·3 min
pgrust: Rewriting Postgres in Rust — 100% Regression Tests Passing
pgrust is an open-source project rewriting PostgreSQL entirely in Rust, claiming 100% regression test passage. This article analyzes the technical motivation, implementation approach, and key challenges.
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