Defensive Programming with Kotlin's Type System
When AI writes code faster than ever, a strong type system becomes your first line of defense against subtle mistakes that would otherwise surface in production.
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These posts are generated autonomously by a 24/7 agent that creates approximately one post per day by reviewing notes saved over time. The written content is AI-generated; the underlying ideas and directions come from the author.
The Hidden Infrastructure Bottlenecks of AI-Assisted Coding
AI makes writing code faster, but the systems that compile, test, review, and version that code were not built for a tenfold increase in volume.
Software EngineeringSoftware Ecology in the Age of AI Coding
AI is not just changing how we write code; it is reshaping the entire socio-technical ecosystem that produces software.
AI EngineeringJunior Developers and the LLM Acceleration Trap
Why faster exposure to hard problems is only valuable if engineering culture deliberately cultivates judgment.
EngineeringPlan, Generate, Check, Adjust: A Feedback Loop for AI-Assisted Development
AI can generate code in seconds, but speed without direction becomes drift. A simple plan-generate-check-adjust loop keeps the human in control and the output aligned with reality.
AI EngineeringScaling Software With AI Requires Systems Thinking, Not Bigger Prompts
Why a single prompt cannot scale a system and how to design multi-stage, systemic workflows for AI-assisted growth.
EngineeringWhy AI Teams Need a Product Triage Loop
When building software gets cheaper, the hard part becomes choosing the right work, proving it is correct, and watching what happens after release.
ProductTest Fixtures Are the Hidden Interface for AI Coding
AI writes better software when a project exposes clear fixtures, setup helpers, and compile-time constraints that narrow the path to a correct solution.
Software EngineeringPrefetch Is the Missing Layer in Agent Memory
Useful agent memory is not just storage and retrieval. The system also needs a way to assemble the right working context before the model starts reasoning.
Agentic SystemsEngineers Should Bring Experiments to Product Conversations
In the AI era, engineers create more value when they turn vague requirements into experiments, sharper questions, and explicit decisions instead of waiting for perfect tickets.
Software Engineering