The Generative Programmer

The Generative Programmer

From Test-Driven to Loop-Driven Development

The evolution of AI coding from tests and prompts to agents, harnesses, and supervised loops.
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From Test-Driven to Loop-Driven Development
The evolution of AI coding from tests and prompts to agents, harnesses, and supervised loops.
Jev and LLMs: who does what?
How Jev handles structured decisions, with a minimal example and eight early projects.
I Ran One Draft Through Four Anti-Slop Skills
Same draft, four editing policies. The difference was where each skill looked: the whole piece, the paragraph, or the sentence and individual words.
8 Software Books AI Has Made More Relevant
AI can now write much of the source code. Do software engineering books still matter?
Latency Patterns for Faster AI Applications
19 distributed-systems patterns for reducing non-model latency using locality, work reduction, concurrency, and anticipation.
Designing Agent Context by Scope and Time
A practical guide to choosing between user prompts, system prompts, scoped instructions, Skills, Tools, Steering, and Delegation.
10 Open-Source Projects for Securing AI Agent Skills
A practical map of scanners, supply-chain controls, sandboxes, and runtime governance.
Emerging Markdown Formats That Shape Coding Agent Behavior
A practical map of the rules, procedures, plans, domain knowledge, and memory that guide agent-assisted software changes.
How AI Adoption Progresses Inside Organizations
Each phase adds capabilities that let teams do more with AI until the next bottleneck appears.
The Generative Programmer
The Generative Programmer
For software builders: the emerging patterns in coding, architecture, and product development in the age of generative AI.
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The Generative Programmer

For software builders: the emerging patterns in coding, architecture, and product development in the age of generative AI.
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