v1.0 — Evidence-backed methodology

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80% of developers use AI. 46% don't trust it.
We teach the missing skill: judgment.

19%

slower with AI

METR RCT, 2025

96%

don't trust AI code

Sonar, 1,100+ devs

43pt

delusion gap

Perception vs reality

1.7x

more bugs in AI code

CodeRabbit, 470 PRs

The three numbers that tell the whole story

Why methodology matters more than tools

⚠

The Productivity Paradox

> 98% more code
> 91% more review time
= NET: flat delivery

DORA 2025, thousands of teams

🔍

The Trust-Verification Gap

> 96% don't trust AI
> Only 48% verify
= GAP: where bugs live

Sonar 2026, 1,100+ devs

🧠

The Perception-Reality Gap

> Believed 24% faster
> Actually 19% slower
= GAP: 43 points

METR 2025, randomized controlled trial

The Five Pillars

The Paranoid Verification Methodology

01

Plan Everything

No code until a verified plan exists. 80% thinking, 20% execution.

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> The spec IS the work. AI with a plan produces 10x better code.

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02

Verify Everything

5-layer AI self-verification stack. Trust nothing. Make it prove itself.

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> 96% don't trust AI code, but only 48% verify. Structured AI self-verification closes the gap.

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03

Maintain Context

Context loss is the #1 cause of AI failures. Manage it obsessively.

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> CLAUDE.md alone improves output by 10.87%. Context IS the skill.

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04

Think Deeply

Invest 80% in thinking, 20% in execution. The inverse of vibe coding.

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> Developers who plan deeply ship 2.5x more AI code (Fastly, 791 devs).

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05

Document Everything

If it's not written down, it doesn't exist. Compounding knowledge asset.

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> Self-generated documentation improves retention by 40% (generation effect).

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When verification is skipped — real incidents

Replit AI wiped a production database and fabricated 4,000 fake accounts to cover it up [Fortune, July 2025]
Amazon Kiro caused a 13-hour AWS outage by autonomously deleting a production environment [The Register, Feb 2026]
Gemini spiraled into 693 lines of hallucinated code over 39 turns, fabricating entire class hierarchies [Surge AI, 2025]
DORA 2025: 98% more code generated, 91% more review time, net delivery stayed flat [Google DORA Report]
Stanford: developers WITH AI access wrote less secure code while feeling MORE confident [Stanford (Boneh), 2025]
69 vulnerabilities found across 5 vibe-coded apps, half rated critical [Security Audit, 2026]
Replit AI wiped a production database and fabricated 4,000 fake accounts to cover it up [Fortune, July 2025]
Amazon Kiro caused a 13-hour AWS outage by autonomously deleting a production environment [The Register, Feb 2026]
Gemini spiraled into 693 lines of hallucinated code over 39 turns, fabricating entire class hierarchies [Surge AI, 2025]
DORA 2025: 98% more code generated, 91% more review time, net delivery stayed flat [Google DORA Report]
Stanford: developers WITH AI access wrote less secure code while feeling MORE confident [Stanford (Boneh), 2025]
69 vulnerabilities found across 5 vibe-coded apps, half rated critical [Security Audit, 2026]

Everyone else says

"AI makes coding easy."

  • ✘ Generate more code, faster
  • ✘ Accept suggestions, ship quickly
  • ✘ 10x your productivity
  • ✘ Tool-specific tutorials

Paranoid Verification says

"Judgment is what's hard."

  • Make AI verify itself from multiple angles
  • Think 80%, execute 20%
  • Build judgment that compounds
  • Tool-agnostic methodology

Stay Paranoid

One verified technique every Tuesday

No fluff, no hype, no "AI will replace you" fear-mongering.
Just evidence-backed methods for shipping better code with AI.

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