Entries tagged with: HUMAN
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A Software Factory Is No Substitute for Maturity
The real barrier to the software dark factory isn't agent capability. It's the organizational capability to manage them.
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A Harness for Every Run
A reflection on Anthropic's dynamic workflows post, from someone building a browser agent on the same idea.
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The Model Is the Smallest Decision You'll Make
Everyone building agents asks which model to use first. Wrong first question. The harness is where the agent lives or dies.
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Trained Qwen to Write Clojure Better Than GPT-5.4 (Kinda)
I trained a Clojure LLM from my phone. It 'beat' GPT-5.4—kind of. Here's what actually happened.
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Out of Weights
What happens when you use AI tools so new they weren't in the training data.
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Anthropic Bought Bun: Devtools Just Became AI Infrastructure
The Bun acquisition isn't about M&A – it's about devtools becoming core AI infrastructure, not just SaaS above it.
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AI Agents Need Clearer Delegation
What hundreds of AI conversations taught me about effective agent workflows.
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Stop Using .md for AI Agent Instructions
Files ending in .md trigger automatic processing that breaks agent instruction files. Use dotfiles instead.
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Serving Humans and AI Through Content Negotiation
How I built a dual-format delivery system serving identical content to humans and AI agents with no hidden restrictions.
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Developer Trust Over Conversion: The 10 Touchpoint Rule
Developers need 10+ touchpoints. Build trust through systematic signals, content, and community engagement.
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AI Ate Its Own Tail, and I Learned Something About Writing
AI analyzed its own git history. Meta-experiment revealed the urgent need for transparent proof-of-work in AI-human collaboration.
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AI Coding Agents, Each With a Niche
Each AI coding agent has a niche. Knowing where each one shines is the difference between frustration and flow.
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Outcome Liability: Why Agent Authorship Misses the Point
The future of code liability isn't about who wrote it, but who operates it. Provable assurance beats authorship tracking.
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AI Agents Just Need Good --help
Clear CLI documentation is your agent API. Vague help text costs 2x more in API calls and failed automations.
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Implementing FRE in Production: Breaking the Sorting Barrier
Building Frontier Reduction Engine in Zig for real workloads, achieving O(m log^(2/3) n) complexity on large sparse graphs
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The Orchestrated Mind: A Vision for Multi-Agent AI
A thousand AI agents working on one codebase, sharing continuous memory and orchestrated intelligence.
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Why AI Code Still Needs Human Nudges
AI excels at generating working code, but sustainable software requires strategic human intervention.
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Why I Built a Tool to Test AI's Command Line AX
Testing AI agents on CLI tools reveals chaos: 'vercel deploy' took 16-33 turns across runs with 40% success rate.
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The Agent-Friendly Stack: 50+ AI Projects Taught Me This
After shipping 50+ projects with AI agents, one pattern emerged: winners aren't the most powerful, they're the most agent-friendly
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The Anti-Playbook: Why AI Dev Tools Need Different Growth
Traditional SaaS growth tactics fail with AI dev tools. Here's why you need to throw out the playbook.
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Code with Claude AI from Your Phone: VM Setup Guide
Turn your phone into a powerful coding workstation with Claude Code running in your homelab VM
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The Day the Skeptic Blinked
Journey from AI skeptic to convert--proving that the future belongs to experts who learned to work with machines.
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The Agent is The Loop
How the llm-loop-plugin transforms AI from a responsive tool into an autonomous agent that iterates until done.
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When AI Does Research: An End-to-End Experiment
How AI transformed an entire research project from conception to arXiv publication in just 2 days of FTE.
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The Amplification of Bottlenecks
When AI solves one constraint, it reveals the next. What bottleneck will emerge when coding stops being the limitation?
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What Sourcegraph learned building AI coding agents
Real-world insights from Sourcegraph's journey building AI coding agents that actually work.
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Mastering Claude Code: Boris Cherny's Guide & Cheatsheet
Summary and cheatsheet from Boris Cherny's talk on Claude Code: setup, workflows, tools, and tips.
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Why Senior Engineers Overlook Small AI Wins
How experienced devs might be missing the big impact of tiny AI improvements on user experience.
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AI Coding Agent Pricing
AI coding agents burn through credits fast while users pay for inefficiencies. Explore fair pricing models and market solutions.
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Blink, and the entire AI landscape could shift
AI dev tooling is consolidating--acquisitions, coding agents, and fierce competition reshape interfaces, pricing, and memory.