159 lines
5.5 KiB
Markdown
159 lines
5.5 KiB
Markdown
# Activity Log
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## 2026-01-22 @strategist — Session 1
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**Action:** Initial setup
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**Changes:**
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- Created article card in `0-inbox/beyond-vibe-coding.md`
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- Created assets folder structure
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- Copied Perplexity research
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- Created research-index.md for clustering
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**Notes:**
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- Goal: Henry's 2nd Dev.to article for account warmup
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- Approach: methodology survey + practitioner opinion via interview
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- Interview planned to capture authentic perspective
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**Next:** Verify sources, cluster methodologies, conduct interview
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---
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## 2026-01-22 @strategist — Session 2
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**Action:** Keyword research & Brief creation
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**Research completed:**
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- DataForSEO keyword research: $0.40 spent
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- 25+ keywords tested for volume and difficulty
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- Related keywords analysis for top methodologies
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- Search intent classification
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**Key findings:**
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- **spec driven development**: 1,300 vol (359x growth in 2025!)
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- **ai pair programming**: 720 vol (KD 50)
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- **human in the loop ai**: 880 vol (stable)
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- **ralph loop**: 10 vol (but Dec spike to 140)
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- **vibe coding**: 0 vol (despite Word of Year!)
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- **agentic coding**: 0 vol
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**Halo keywords (massive volume):**
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- claude code: 165k
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- cursor ai: 135k
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- github copilot: 74k
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**Strategic decision:**
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Thought leadership piece, not pure SEO play. Primary keyword "ai coding methodologies" (0 vol) positions us as definitional content. Secondary keywords with volume provide long-tail ranking opportunities.
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**Changes:**
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- Created complete Brief with strategic context, keyword strategy, requirements
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- Updated frontmatter with keywords
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- Status changed to `planning`
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**Interview data:**
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Oleg's detailed interview from Session 1 provides authentic practitioner voice for Henry. Six methodologies covered with specific examples and honest trade-offs.
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**Next:** @architect to create Outline based on Brief + interview insights
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---
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## 2026-01-23 @strategist — Session 3
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**Action:** Brief refinements based on user clarification
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**Critical insights added:**
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1. **Deeper reader motivation:**
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- Not just "how to choose methodology"
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- Fighting impostor syndrome: "Is AI coding unprofessional?"
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- Seeking legitimacy: professional AI usage ≠ junior with ChatGPT
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- Understanding that pro AI coding requires serious skills
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- Permission to use AI tools without shame
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2. **Methodology presentation structure:**
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Each methodology must include credentials block:
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- Name (official)
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- Source links (repos, papers, docs)
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- Created by (company/person/community)
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- When (year introduced)
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- Used by (notable adopters)
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Purpose: Establish that these are serious professional approaches with foundation, not random hacks
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3. **Title alternatives proposed:**
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- "You Might Not Need Vibe Coding"
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- "What Comes After Vibe Coding"
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- "AI Coding vs Vibe Coding"
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- "AI Coding for Professionals"
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- "~~Vibe Coding~~ AI Coding for Software Engineers"
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Added to Brief for @architect consideration
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**Changes to Brief:**
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- Enhanced Strategic Context: explicit "fight stigma" positioning
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- Expanded Target Reader: added impostor syndrome, validation seeking
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- Requirements: detailed credentials structure for each methodology
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- Special Notes: emphasized credentials as critical for legitimacy
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- Added Title Alternatives section
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**Key message reinforced:**
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This article is not just a survey — it's a validation piece. Reader needs permission to use AI professionally and proof that methodology separates pros from juniors.
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**Brief status:** Complete and ready for @architect
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**Next:** Move to 1-planning/, @architect creates Outline
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---
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## 2026-01-23 @strategist — Session 4 (Final)
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**Action:** Statistical research & file restructuring
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**Statistical Research Completed:**
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- Brave Search: 30+ sources on AI adoption, security, company policies
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- Created comprehensive `ai-usage-statistics.md` with 35+ verified sources
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**Key statistics collected:**
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- **76% of developers** using or planning to use AI (Stack Overflow 2024)
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- **33% of senior developers** (10+ years) generate 50%+ of code with AI
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- **13% of junior developers** (0-2 years) do the same — **2.5x difference**
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- **90% of Fortune 100** companies adopted GitHub Copilot
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- **27-32% of companies** banned AI tools over security/privacy
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- **45-73% of AI-generated code** contains security vulnerabilities
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**Why these stats matter:**
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Reinforces article thesis with hard data:
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1. Professionals use AI MORE (contradicts "toy for juniors" stigma)
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2. Enterprise validation (Fortune 100 adoption)
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3. Security risks exist (need for methodology)
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4. Skill matters (same tools, different outcomes)
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**File Restructuring:**
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- Moved Brief from main article to `brief.md` (cleaner structure)
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- Updated Assets Index with new files
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- Added references in Brief to use statistical data
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**Files Added:**
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1. `assets/beyond-vibe-coding/brief.md` — complete strategic documentation
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2. `assets/beyond-vibe-coding/ai-usage-statistics.md` — statistical backing
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**Current structure:**
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```
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0-inbox/beyond-vibe-coding.md (main card + references)
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├── assets/beyond-vibe-coding/
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├── brief.md (strategic context, requirements)
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├── ai-usage-statistics.md (data backing)
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├── interview.md (practitioner insights)
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├── research-index.md (source verification)
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└── log-chat.md (this file)
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```
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**Brief Status:** Complete with statistical backing ready
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**Next:** Move entire card to 1-planning/, @architect creates Outline using:
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- Brief requirements
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- Interview insights
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- Statistical evidence from ai-usage-statistics.md
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---
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