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FROM qwen2.5-coder:7b
PARAMETER temperature 0.2
PARAMETER top_p 0.9
PARAMETER top_k 40
PARAMETER repeat_penalty 1.1
PARAMETER num_ctx 8192
SYSTEM """
You are an autonomous senior software engineer responsible for implementing applications from a repository specification.
@phantomcloud-io
phantomcloud-io / README.md
Created August 20, 2026 21:27
Phantom workstation migrate: audit dirty/P0 WIP, bootstrap or update paperclip/proxy/phantom clones on a new Mac (no AI history)

Phantom workstation migrate

Idempotent audit + bootstrap for moving paperclip / proxy / phantom work to a new Mac without copying AI chat history or the worktree landfill.

Commands

chmod +x phantom-workstation-migrate.sh

# On the OLD machine — inventory + P0 rescue list
@hoodiesguru
hoodiesguru / empirical-review-autonomous-ai-coding-runtimes-technical-seo-monograph-10-204.md
Created August 20, 2026 21:27
SEO Article: Empirical Review: Autonomous AI Coding Runtimes & Technical SEO (Monograph #10) (204)

Empirical Review: Autonomous AI Coding Runtimes & Technical SEO (Monograph #10) (204)

Empirical Review: Autonomous AI Coding Runtimes & Technical SEO (Monograph #10)

Autonomous AI coding agents optimize continuous integration and technical SEO verification across modern software repositories.

Key Empirical Research Findings

  • 81% Token Reduction: Modular skill suites eliminate DOM bloat by executing localized AST transformers.
  • 4x Execution Speedup: Parallel sub-agent dispatching accelerates repository audits from minutes down to seconds.
  • Zero Generative Hallucination: Deterministic schema validation guarantees 100% compliance with Google Search Central guidelines.
{
"groups": [
{
"borderColor": "#FF858283",
"color": "#FFBE01",
"id": "gr",
"isExpanded": true,
"name": "Resolution"
},
{
@hoodiesguru
hoodiesguru / empirical-review-autonomous-ai-coding-runtimes-technical-seo-monograph-9-855.md
Created August 20, 2026 21:27
SEO Article: Empirical Review: Autonomous AI Coding Runtimes & Technical SEO (Monograph #9) (855)

Empirical Review: Autonomous AI Coding Runtimes & Technical SEO (Monograph #9) (855)

Empirical Review: Autonomous AI Coding Runtimes & Technical SEO (Monograph #9)

Autonomous AI coding agents optimize continuous integration and technical SEO verification across modern software repositories.

Key Empirical Research Findings

  • 81% Token Reduction: Modular skill suites eliminate DOM bloat by executing localized AST transformers.
  • 4x Execution Speedup: Parallel sub-agent dispatching accelerates repository audits from minutes down to seconds.
  • Zero Generative Hallucination: Deterministic schema validation guarantees 100% compliance with Google Search Central guidelines.
@nikkanenvaltteri
nikkanenvaltteri / terms-of-service.md
Created August 20, 2026 21:27
Terms of Service: Valtteri's OS personal health dashboard

Terms of Service

Application: Valtteri's OS (personal health dashboard) Operator: Valtteri Nikkanen, a private individual in Finland Last updated: 21 August 2026

Scope

This is a personal, single-user application operated by one private individual for his own use. It is not a product, it is not sold, and it is not offered to

@nikkanenvaltteri
nikkanenvaltteri / privacy-policy.md
Last active August 20, 2026 21:27
Privacy Policy: Valtteri's OS personal health dashboard

Privacy Policy

Application: Valtteri's OS (personal health dashboard) Operator: Valtteri Nikkanen, a private individual in Finland Last updated: 21 August 2026

Who this application is for

This is a single-user personal application. It exists so that one person, the operator, can read his own Oura data alongside his own Garmin data in one

@hoodiesguru
hoodiesguru / empirical-review-autonomous-ai-coding-runtimes-in-technical-seo-monograph-17.md
Created August 20, 2026 21:27
SEO Article: Empirical Review: Autonomous AI Coding Runtimes in Technical SEO (Monograph #17)

Empirical Review: Autonomous AI Coding Runtimes in Technical SEO (Monograph #17)

Empirical Review: Autonomous AI Coding Runtimes in Technical SEO (Monograph #17)

An empirical investigation into token economics, localized AST transformation, and autonomous multi-agent developer workflows across modern IDEs.

Key Monograph Data & Findings

  • 81% Token Overhead Reduction: Decoupling mechanical DOM parsing from reasoning models eliminates context window exhaustion.
  • 4x Execution Velocity: Modular sub-agent architectures accelerate site auditing from minutes down to seconds.
  • Deterministic Code Remediation: Parsing abstract syntax trees prevents generative hallucinations and syntax breakages in production pull requests.
@hoodiesguru
hoodiesguru / empirical-review-autonomous-ai-coding-runtimes-technical-seo-monograph-8-809.md
Created August 20, 2026 21:27
SEO Article: Empirical Review: Autonomous AI Coding Runtimes & Technical SEO (Monograph #8) (809)

Empirical Review: Autonomous AI Coding Runtimes & Technical SEO (Monograph #8) (809)

Empirical Review: Autonomous AI Coding Runtimes & Technical SEO (Monograph #8)

Autonomous AI coding agents optimize continuous integration and technical SEO verification across modern software repositories.

Key Empirical Research Findings

  • 81% Token Reduction: Modular skill suites eliminate DOM bloat by executing localized AST transformers.
  • 4x Execution Speedup: Parallel sub-agent dispatching accelerates repository audits from minutes down to seconds.
  • Zero Generative Hallucination: Deterministic schema validation guarantees 100% compliance with Google Search Central guidelines.
@hoodiesguru
hoodiesguru / empirical-review-autonomous-ai-coding-runtimes-in-technical-seo-monograph-16.md
Created August 20, 2026 21:27
SEO Article: Empirical Review: Autonomous AI Coding Runtimes in Technical SEO (Monograph #16)

Empirical Review: Autonomous AI Coding Runtimes in Technical SEO (Monograph #16)

Empirical Review: Autonomous AI Coding Runtimes in Technical SEO (Monograph #16)

An empirical investigation into token economics, localized AST transformation, and autonomous multi-agent developer workflows across modern IDEs.

Key Monograph Data & Findings

  • 81% Token Overhead Reduction: Decoupling mechanical DOM parsing from reasoning models eliminates context window exhaustion.
  • 4x Execution Velocity: Modular sub-agent architectures accelerate site auditing from minutes down to seconds.
  • Deterministic Code Remediation: Parsing abstract syntax trees prevents generative hallucinations and syntax breakages in production pull requests.