Agent context is the new technical debt
·5 min read
Git tracks what changed. With AI-generated code, the reasoning behind it matters more. Entire makes that context durable.
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Debugging with AI is a diagnosis problem
·6 min read
Stop asking your AI to fix bugs. Ask it to investigate.
Let AI supervise itself
·6 min read
Wire AI into a development workflow that catches mistakes automatically.
Plan before implementing
·5 min read
Speed without direction is expensive iteration. How planning with AI changes the dynamic.
An MCP server for DB2 for i
·2 min read
I open-sourced an MCP server that lets Claude, Cursor, and other AI tools talk directly to DB2 for i.
Use reference documentation tools with AI agents
·3 min read
Stop babysitting the model with pasted snippets. Pull the right docs into context automatically.
Why AI works better on existing codebases
·5 min read
The assumption is that AI-assisted coding works best on fresh projects. After a year of experience, I think the opposite is true.
From fragmented code to consistent output with AI rules
·8 min read
Most developers use AI without structured guidance. Here's how capability-specific rules change everything.
