Engineering Manager / Technical Lead
Archive
Older writing on AI applications, software engineering, and developer tools.
Most AI code review bots fail for a simple reason: they optimize for visible comments instead of reviewer trust. This guide pulls together current benchmarks, practitioner reports, product limitations, and design patterns for building a code review agent that is fast, quieter, less biased, and less hallucination-prone.
The emerging AI-era problem is not just automation or job loss. It is possibility overload, expectation creep, verification fatigue, boundary collapse, and work that expands faster than human attention.
An exploratory, source-backed article on reverse-engineering one feature into current-state specs in the old repo, then using those artifacts to drive a safer implementation in a new repo and a new stack.
A source-backed follow-up on routing GitHub Spec Kit phases across fast drafting models, deeper planning models, and stronger implementation models without treating all steps as the same kind of work.
A practical brownfield workflow for reconstructing one existing feature into spec.md, plan.md, tasks.md, and supporting Spec Kit artifacts without pretending you are starting from scratch.
The strongest evidence does not say 'always write less.' It says humans do better with lower cognitive load, clearer cues, and progressive disclosure. Here's how that changes how we should generate AI responses and reports.
A practical, source-backed guide to GitHub Container Registry, OCI Helm charts, Argo CD, and a clean local/dev/prod flow for a simple FastAPI service.
A source-audited, side-by-side guide to choosing between Agno/AgentOS + FastAPI and LangChain/LangGraph + FastAPI for production Python agent backends.
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