Entries tagged with: TOOLS
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Bash Owns the Loop
A durable wrapper pattern for autonomous agents: Bash owns state, validation, recovery, and completion.
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What Pretext Reinforced About AI Loops
Pretext reinforces what serious AI-assisted engineering looks like: hard constraints, real oracles, tiny repros, rejection.
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Optimizing Skills
Two weeks of agent benchmarks taught me that variance is a cost problem, and the real fix was better tooling.
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What Makes a Great Coding Agent
10 principles that separate genuinely useful coding agents from flashy demos—and a north star spec for building them.
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Designing CLI Tools for AI Agents
Most 'AI-native' tools are built with AI features. But what about tools designed FOR AI agents to use? Here's the playbook.
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From Bash Script to AI-Native Go CLI in One Session
Turned a Bash script into a proper Go CLI with Whisper bootstrap and cross-platform releases—all in one AI coding session.
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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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Looper: The AI Junior That Never Forgets the Backlog
Why treating AI like a junior engineer—with a backlog, a schema, and a review gate—beats giving it free-form leeway.
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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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From Shower Ideas to Production: Autonomous AI Agents
Running 100% autonomous AI agents in VMs to go from idea to implementation without touching a keyboard
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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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The Agent is The Loop
How the llm-loop-plugin transforms AI from a responsive tool into an autonomous agent that iterates until done.