windyboyandClaude Sonnet 4.5
9f6e62676e
Resolved 48 identified issues across 5 remediation batches: Critical Fixes (2/2 = 100%): - Removed duplicate "System Architec" directory with 4 archived files - Fixed broken PARA Notes wikilinks in 2 Outline.md files High Priority (14/15 = 93%): - Consolidated 10+ duplicate file pairs to canonical locations - Added frontmatter to 30 files in 200-area (now 100% coverage) - Relocated orphaned image with updated reference - Removed security-sensitive file duplicates Medium Priority (32/41 = 78%): - Deleted 4 empty files (0-15 bytes each) - Relocated misplaced files to proper PARA categories - Improved archive organization structure File Changes: - Modified: 33 files (frontmatter + wikilink fixes) - Moved: 16 files (to archive or new locations) - Deleted: 6 files (duplicates after archival) - Created: 25 files (archived copies + documentation) Vault Health Improvement: - Frontmatter coverage: 43% → 75% - Broken wikilinks: 2 → 0 - Duplicate files: 10+ → 0 - Empty files: 4 → 0 - Overall health score: 6.5/10 → 8.5/10 Documentation: - Created comprehensive remediation plan and batch reports in copilot/ - All changes tracked with detailed change reports - No data loss - duplicates archived, not deleted 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
35 lines
1.8 KiB
Markdown
35 lines
1.8 KiB
Markdown
Title: "[Better Developers] Computers Are Cheap. People Are Expensive."
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Author:
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## Highlights:
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My point is that it took a long time for people to realize that it was OK to work with a high-level language, and that doing so didn't make you a worse programmer. When you use a high-level language, your programs might run a bit more slowly, but that's often an acceptable compromise.
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**==In today's world, computers are cheap, while people are expensive.==**
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Let's assume that a Python program runs twice as slowly as the equivalent Java program, and thus requires two servers instead of one server. In today's world, that server difference will probably cost a few hundred dollars per month. If the programmer writing the software is 5x as productive, then that server is more than paid for by the increase in efficiency.
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This doesn't mean, of course, that you don't need to worry about slow code, or that there's no need for C++ programmers in the world any more. But the need for speed is increasingly balanced by something even more important: The need for maintainable software.
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One of the reasons I love Python is that the code is clear and readable, allowing me to join a new project and dive in, because the code is written similarly to all of the other Python code I've read and written over the years.
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Better to save your colleagues (and company) money by making things more efficient for people, rather than for computers.
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Your 1st comment on this article **Note:** Really interesting insight with the switch to a high level language to save people time and make debugging easier instead of saving server resources. It might not always be the right equation like in our case where the biggest expense are the servers but in many cases it would be true that human price > server price
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