How I use AI (Oct 2026)
The author describes how their AI use changed over twelve months.
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One primary source; other links are context, not independent corroboration.
- Primary sourceben.stolovitz.com
- Discovery linkHacker News
- Linked in sourceLast October
- Linked in sourceHank Green’s policy
- Linked in sourceHank Green
- Linked in sourceBrainPOP
- Linked in sourceadds noise-reduction
- Linked in sourcemacOS
- Linked in source“fail fast”
- Linked in sourcea huge change to Mumble
- Linked in sourceanthropomorphic bias
- Linked in sourceConsider the chairmaker
- Linked in sourceClaude-y comment detector
- Linked in sourcecouldn’t find “AI’ve”
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The author describes how their AI use changed over twelve months. They now manage about five to six coding agents at once, each working in its own Git worktree on features, bugfixes, and tests, and they review agent-generated pull requests at the architecture level rather than line by line. They report that agents still need human taste, that they design architecture poorly, and that juggling many agents is exhausting. They also say Google's AI summaries have become their default search, with mixed accuracy, and that they drafted a personal AI policy.
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The author manages roughly five to six coding agents at once, each working in a separate Git worktree.
Source: ben.stolovitz.com ↗Stored source-based brief · key point 1 · AINewsIQ paraphraseAgents write code, run tests, and create pull requests, but the author still validates their output manually.
Source: ben.stolovitz.com ↗Stored source-based brief · key point 2 · AINewsIQ paraphraseThe author reports agents are poor at architecture design and need human taste, and that juggling many agents is fatiguing.
Source: ben.stolovitz.com ↗Stored source-based brief · key point 3 · AINewsIQ paraphraseGoogle's AI summary is now the author's default search starting point, though it sometimes gives incorrect answers.
Source: ben.stolovitz.com ↗Stored source-based brief · key point 4 · AINewsIQ paraphraseLimits from the stored brief
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Why this may matter
The post offers a first-person account of how a practitioner integrates agentic coding and AI search into daily work, including where it saves time and where human judgment remains necessary.
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Source claims not independently checked; this is one engineer's anecdotal experience, not a controlled study.
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