Tag: AI
All the articles with the tag "AI".
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AI Model Comparison Mid-2026 Sequel: 52 Days After blog166, Here's What I Got Wrong in May
A line-by-line self-audit 52 days after blog166: of 5 predictions, 2 retracted (the Sonnet/Opus advice is stale, the open-source gap was underestimated), 1 still pending (Anthropic pricing), 2 held up. Plus six months of real model-routing observations from this blog and the checkpoints for the next audit.
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Loop Engineering: From Writing Prompts to Designing Loops That Run Agents for You
The "Loop Engineering" term Addy Osmani popularized in June isn't a replacement for prompt engineering — it's about swapping you out as "the person who hits enter" and turning you into "the person who designs the loop". Walks through the five components plus a state, and the three debts Osmani is really worth remembering for (verification debt / comprehension debt / cognitive surrender) — and along the way, why I disagree with him placing loop above the harness.
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Two Days with Claude Fable 5: The 5 Things Every API Integrator Actually Has to Change
Anthropic shipped Fable 5 on 6/9, swapping the Opus/Sonnet/Haiku naming for Fable/Mythos. But the things that actually force every Claude API integrator to touch code aren't the names — they're the new stop_reason refusal, the forced adaptive thinking, and the "you must wire up a fallback model" architecture. After two days driving it inside Claude Code, here's the integration-side detail you need.
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Prompt, Context, Harness, Agentic: The Four Nested Layers of LLM Apps — and Knowing Which One You're Stuck In
Prompt engineer, context engineer, harness engineer, agentic engineer — these aren't four competing job titles. They're nested layers of concern, from a single instruction to an entire autonomous system. Understand how the four layers relate, and you'll know exactly which one you're optimizing every time you get stuck.
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7 "Anti-AI-Tone" Principles I Distilled After Writing 80+ Blog Posts with Claude Code
Roughly 70% of posts blog080-166 on this blog were written with Claude Code's help, yet readers almost never notice. Here are the 7 "anti-AI-tone" principles I distilled — the goal isn't to make AI sound less like AI, it's to make AI sound like you. Includes the automated check script from my blog-preflight Skill.
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AI Model Comparison, Mid-2026 Edition: Two Months After blog080, the Model Layer Has Turned Over
blog080 was written in early March 2026. Two-plus months later, GPT-5.5, Claude Opus 4.7, and Gemini 3.1 Pro have all shipped, and open-source flagships GLM-5.1/Qwen 3 Coder have closed the gap to within 5-15 points of closed models. This is the May update: what changed, and how to adjust your March picks.
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GPT-5.5 vs Claude Opus 4.6 vs Gemini 2.5 Pro: Coding Capability Comparison 2026
A 2026 head-to-head coding comparison of the leading large language models: benchmark numbers, pricing, and real-world coding performance for GPT-5.5, Claude Opus 4.6, and Gemini 2.5 Pro — to help you pick the right model for everyday development.
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The 2026 AI Coding Tools Scorecard: An Honest Review of Claude Code, Cursor, Copilot, Windsurf, and Gemini CLI
An in-depth comparison of the leading AI coding tools in 2026: Claude Code, Cursor, GitHub Copilot, Windsurf, Trae, Cline, Gemini CLI, and Aider — covering real-world data, current pricing, and use cases to help developers pick the right tool.