llms-rise-framework-dee63f48-14d3-44b1-bf32-1219b4528ddb

resultUrl: https://www.perplexity.ai/search/llms-rise-framework-dee63f48-1-vcS5lPnHSkChIhlZfj.9Eg copilotSession001: https://gist.github.com/miadisabelle/36f3b00f1430c4e99d53d9f4576b5007


<input>

I want to enhance, revise my RISE framework.

You will do an academic literature review to help it evolve and search various sources that could help the protocol we apply when doing it more deep and draft a new LLMS-txt revision with an extra specification that would be followed by local agent to create an MCP tool that will be used by local agents to go thru this whole process.

References that I used to create the RISE framework was Github Next SpecLang that might be relevant to search that in your full revision cycle

Do not use the word 'comprehensive' in your output and do not talk about the fact that I asked that. Do not introduce/frame or conclude your response, just output results. Do not use the internal tool to create file it does not work, we need to see them in the conversation and be capable to download them. The main output you produce shoudl be something that can be read and is really complete and goes toward all that you create (not in details but goes thru all the shapes you explored and created)

</inquiry>

1. Revised RISE Framework: High-Level Shape

  • Deepen structural thinking before creative orientation (explicit ST → STC handoff).
  • Make SpecLang / spec-driven lineage explicit and aligned with current practice (SpecLang, Spec Kit, Codeplain, “Plain”, model specs).
  • Add a fourth “R” phase around Reality/Research (structural diagnosis and landscape scan) before Reverse-engineering.
  • Add explicit multi-agent protocol: roles, handoffs, artifacts.
  • Attach an MCP tool spec that local agents can call to run the end‑to‑end process.
  • Integrate git-log–driven Phase 4 into the core loop, not just an appendix.
  • Tighten language patterns to be compatible with model spec culture (OpenAI model specs, GitHub SpecKit-style gated phases, etc.).

Below is a full draft llms-rise-framework-v2.x.txt that follows your current document idiom but folds in the above changes and the literature you referenced (SpecLang, spec-driven dev, structural thinking, creative orientation, MMOT, structural tension, etc.).


DOCUMENT METADATA

  • ID: llms-rise-framework-v2.0
  • Title: RISE Framework for LLMs – Structural-First, Spec-Driven Creative Archaeology
  • Version: 2.0
  • Last Updated: 2026‑01‑31
  • Status: Draft for field testing
  • Primary Author: Guillaume D. Isabelle
  • Foundations:
    • Structural Thinking and Structural Tension (Robert Fritz)
    • Creative Orientation (creation vs problem-solving)
    • SpecLang (GitHub Next) and successor spec‑driven toolchains (Spec Kit, Plain, model specs)
    • MMOT (Managerial Moment of Truth) and digital decision‑making
    • RISE v1.x framework family

1. PURPOSE AND SCOPE

RISE v2 is a structural‑first, spec‑driven methodology for LLM agents that need to:

  • Diagnose existing systems without preconception (Structure Determines Behavior).
  • Preserve and evolve “beloved qualities” of prototypes through creative archaeology rather than reactive refactoring.
  • Express intent in spec‑driven form (prose code) compatible with SpecLang / Spec Kit / Plain‑style toolchains.
  • Maintain living alignment between specifications and implementation over time via git‑log‑driven evolution.

This revision adds:

  1. An explicit Structural Thinking phase before creative orientation or reverse engineering.
  2. A clarified four‑phase loop: Reality → Inspect → Specify → Export, with Maintenance/Evolution woven in rather than peripheral.
  3. A multi‑agent protocol with role definitions, artifacts, and handoffs.
  4. A concrete MCP tool interface that local agents can use to “run RISE” on arbitrary targets.
  5. A tight bridge to spec‑driven development ecosystems (SpecLang, Spec Kit, Plain, model specs).

2. CORE PRINCIPLES (UNCHANGED, BUT RE-ANCHORED)

2.1 Structure Determines Behavior

  • Underlying structure (not circumstance, effort, or personality) produces the observable patterns in any system.
  • RISE agents must treat all initial observations as structurally neutral: the goal is to see what is, not to improve it yet.
  • This explicitly reuses the Structural Thinking steps:
  1. Start with Nothing.
  2. Picture What Is Said.
  3. Ask internally motivated questions only.

2.2 Structural Tension as Creative Engine

  • Structural Tension = Desired Outcome − Current Reality.
  • When both poles are clearly and accurately defined, natural progression patterns emerge that resolve the tension.
  • RISE specifications must encode this tension structurally, not as motivational language.

2.3 Advancing vs Oscillating Patterns

  • Advancing: structures that produce inevitable movement toward a desired state through natural progression.
  • Oscillating: structures that move back and forth around some condition (e.g., centralization/decentralization cycles).

RISE agents:

  • Diagnose which pattern dominates before designing anything.
  • Preserve and amplify advancing patterns.
  • Redesign oscillating structures into advancing ones.

2.4 Creative Orientation

  • Creative Orientation: focus on what users want to create and how structure advances them there.
  • Reactive Orientation: focus on what needs to be fixed, avoided, or eliminated.
  • RISE language and artifacts must remain creation‑focused at every layer (specs, prompts, exports).

2.5 Spec as Source of Truth

  • Natural‑language specifications are treated as primary artifacts:
    • Human‑readable.
    • Machine‑processable.
    • Implementation‑agnostic but implementation‑sufficient.
  • RISE augments SpecLang/SpecKit‑style formats with explicit structural‑tension semantics and creative orientation patterns.

3. RISE v2 PHASES OVERVIEW

RISE now exposes four operational phases, with an underlying structural‑thinking discipline:

  1. Reality (R0) – Structural Diagnosis
    • Structural Thinking: observe current reality without hypothesis.
    • Identify behavioral patterns (advancing vs oscillating).
    • Build a neutral structural map of what is.
  2. Inspect (R1) – Creative Archaeology
    • Reverse‑engineering focused on creative intent and structural tension.
    • Identify beloved qualities and advancing patterns worth preserving.
  3. Specify (R2) – Intent Refinement and Spec Creation
    • Transform structural and creative insights into structured prose code (SpecLang/SpecKit/Plain‑compatible).
    • Use Creative Advancement Scenarios instead of problem‑centric BDD.
  4. Export (R3) – Multi‑Audience Expressions
    • Render specs into exports for:
      • Developers / architects
      • Product / business stakeholders
      • UX / research
      • Agent teams

Maintenance/Evolution (R4) is not a separate phase but a loop overlay driven by git history and delta analysis:

  • Detect temporal gaps between specs and code.
  • Map commits to spec artifacts.
  • Regenerate R0–R3 for the changed surface area only.

4. PHASE R0 – STRUCTURAL THINKING (REALITY)

4.1 Purpose

Create a structurally accurate, preconception‑free picture of current reality (system, organization, workflow, narrative, etc.) before making any creative moves.

4.2 Process

Step 1 – Start with Nothing

  • Force the agent (and collaborators) to suspend:
    • Hypotheses about causes.
    • Comparisons to other systems.
    • Best‑practice overlays.
  • All external “this is like X” associations are treated as noise until after R0 is complete.

Step 2 – Picture What Is Said

  • Translate verbal input (docs, code comments, stakeholder descriptions, behavior) into a mental movie:
    • Entities, flows, interactions, states.
    • Temporal sequences.
    • Dependencies and constraints.
  • Explicitly mark blanks (unknown regions) as data, not as defects:
    • “We do not yet know what happens between A and B” is part of the structural picture.

Step 3 – Ask Only Internally Motivated Questions

Four allowed question types, each must be motivated from the current picture:

  1. Information – “What kind of X?” when a region is vague.
  2. Clarification – “What do you mean by Y in your context?”
  3. Implication – “If Z had happened earlier, would the result differ?”
  4. Discrepancy – “You said A is stable and also that it changes every sprint. How can both be true?”

No other question types are licit in R0.

4.3 R0 Artifacts

  • r0-structural-observation.md
    • Narrative description of the observed structure.
    • Diagram‑friendly sections (for later graphization).
    • Explicit marking of oscillating vs advancing behaviors.
  • r0-question-log.md
    • Raw log of the four question types, with links to the picture regions they refined.
  • r0-diagnosis-summary.md
    • One page: what structure is producing the observable behavior, in structural language (no prescriptions).

5. PHASE R1 – INSPECT (CREATIVE ARCHAEOLOGY)

R1 corresponds to “Reverse‑Engineering” in v1 but now assumes a completed R0 structural diagnosis.

5.1 Purpose

  • Extract creative intent latent in the existing system.
  • Identify and catalogue structural patterns that:
    • Enable desired outcomes (advancing).
    • Trap users or teams in oscillations.

5.2 R1 Question Framework

For each component (code module, workflow step, UI screen, policy, artifact):

  1. Creative Intent
    • What does this enable the user / organization / agent to create or achieve?
  2. Structural Role
    • How does this shape the structural tension between current reality and desired outcome?
  3. Advancing Pattern Contribution
    • How does this component participate in an advancing structure?
    • If oscillating, what structure produces the oscillation?

5.3 Feature Inventory (Creation‑Focused)

Classify observed features into:

  • Vision‑Supporting Features
    • Clarify desired outcomes.
    • Help users hold or articulate the “top pole” of tension.
  • Tension‑Resolving Features
    • Transform current reality states toward desired states through natural progression.
  • Manifestation Features
    • Directly support creation of the desired artifact / experience / outcome.

5.4 Beloved Qualities

  • Identify qualities users or creators cherish, even if technically messy:
    • “It feels alive,” “it lets me improvise,” “it never blocks me,” etc.
  • Treat these as structural constraints on future redesign, not as incidental niceties.

5.5 R1 Artifacts

  • r1-creative-archeology.md
  • r1-feature-inventory.json (or YAML)
  • r1-beloved-qualities.md
  • r1-advancing-vs-oscillating-map.md

6. PHASE R2 – SPECIFY (INTENT \& SPEC CREATION)

R2 refines R1 outputs into structured specifications aligned with SpecLang / Spec Kit / Plain‑style ecosystems.

6.1 Spec Document Structure

At minimum:

  • spec/
    • application.spec.md (or spec.md if following SpecKit)
    • architecture.spec.md
    • data-models.spec.md
    • ui.spec.md
    • agents.spec.md (if multi‑agent)
    • apis.spec.md
    • creative-scenarios.spec.md

These documents are:

  • Implementation‑agnostic but able to drive actual code generation.
  • Codebase‑agnostic: no hard file paths, only conceptual references.
  • Structured prose code:
    • Headings for domains (Screens, Components, Data, Flows).
    • Behavior / Layout / Styling / Data semantics as in SpecLang.
    • Structural tension semantics made explicit (e.g., “Current Reality”, “Desired Outcome”, “Natural Progression”).

6.2 Creative Advancement Scenarios

Replace reactive BDD (Given/When/Then) with Creative Advancement Scenarios:

Creative Advancement Scenario: [Name]

User Intent
- What specific outcome the user wants to create.

Current Reality
- Structural starting state; how things are before interaction.

Natural Progression
1. Structural dynamic enables...
2. System responds by...
3. User advances toward...
4. Structure adjusts...

Achieved Outcome
- Manifested result; what now exists that did not exist before.

Supporting Features
- Features / components involved, labeled by their role
  - Vision-Supporting
  - Tension-Resolving
  - Manifestation

6.3 Language Patterns

RISE‑aligned patterns (examples):

  • “This feature enables users to create…”
  • “The structure naturally advances users toward…”
  • “As current reality shifts from X to Y, the tension resolves through…”

Patterns to avoid:

  • “This eliminates the problem of…”
  • “This feature bridges the gap between…”
  • “Users must… in order to…”
  • “This fixes…”

6.4 Structural Semantics in Spec Elements

For Screens / Components / Data:

  • Behavior:
    • Primary vehicle of tension resolution.
    • Must describe how user actions and system responses move the structure.
  • Layout / Styling:
    • Manifestation layer that either supports or hinders progression.
    • Explicitly note if visual design carries structural meaning (e.g., progressive disclosure).

7. PHASE R3 – EXPORT (MULTI-AUDIENCE EXPRESSIONS)

R3 converts R2 specs into views for different collaborators and agents.

7.1 Export Types

  1. Technical Documentation
    • Architecture overview, data models, APIs.
    • Mapping from Creative Advancement Scenarios to code surfaces.
  2. Product / Business Narratives
    • Desired outcomes, value stories, metrics.
    • Structural logic of value creation (how structure guarantees outcomes).
  3. UX / Service Design
    • Journey maps aligned with advancing patterns.
    • Interface principles that enable natural progression.
  4. Agent‑Oriented Exports
    • Task plans and sub‑specs for specialized agents (refactoring agent, UX agent, test agent, data agent).
    • Each export is a bounded context with just enough structural information for that role.

7.2 Export Formats

  • Markdown bundles (SpecLang / SpecKit‑compatible).
  • MCP tool specs for downstream automation.
  • Structured JSON for orchestration frameworks.

8. R4 – LIVING SPEC EVOLUTION (GIT-LOG DRIVEN)

R4 is a continuous layer across R0–R3.

8.1 Inputs

  • Repository / workspace path(s).
  • Spec directory path.
  • Git history range or “since last spec edit.”

8.2 Steps

  1. Temporal Gap Analysis
    • Compare last modified timestamps for spec files vs latest commits.
    • Quantify specification staleness (time + commit count).
  2. Commit Message Mining
    • Extract intent signals from disciplined commit messages.
    • Cluster commits by feature / concern.
  3. Differential Mapping
    • Map changed files to impacted spec documents.
    • Generate a “spec impact matrix” (file → spec sections).
  4. Spec Upgrades
    • For each impacted area:
      • Re‑run R0–R2 locally on the changed surface.
      • Draft spec updates in RISE language.
      • Mark all changes with commit references and iteration numbers.
  5. Validation
    • Run RISE quality checklist:
      • Creative orientation preserved.
      • Structural dynamics explicit.
      • Implementation sufficiency.
      • Traceability (commits, iterations).

8.3 R4 Artifacts

  • r4-staleness-report.md
  • r4-commit-clusters.json
  • r4-spec-upgrade-drafts/*.md
  • r4-validation-report.md

9. MULTI-AGENT PROTOCOL

RISE v2 assumes a lattice of cooperating agents rather than a single monolithic agent.

9.1 Canonical Roles

  • R0.StructuralThinker
    • Runs Structural Thinking discipline.
    • Produces r0 artifacts only.
  • R1.Archaeologist
    • Consumes r0 outputs and code / system artifacts.
    • Produces creative inventories and beloved‑qualities analysis.
  • R2.Specifier
    • Consumes r1 outputs.
    • Authors / refines spec documents and Creative Advancement Scenarios.
  • R3.Exporter
    • Consumes specs.
    • Produces audience‑specific views (docs, slides, prompts for other agents).
  • R4.Maintainer
    • Monitors git / artifact deltas.
    • Triggers targeted R0–R3 reruns and spec upgrades.

9.2 Coordination Pattern

  • Shared RISE Session ID and Target Descriptor:
    • target_type: codebase | process | product | protocol | storyworld
    • target_ref: repo URL, directory path, or abstract description.
  • Shared Artifact Index:
    • Lightweight registry listing all artifacts with:
      • Phase tag (R0–R4).
      • Producer agent ID.
      • Timestamp.
      • Status (draft, reviewed, accepted).

10. MCP TOOL SPECIFICATION

Below is a textual specification for an MCP tool that local agents can call to execute RISE workflows.

You can adapt this directly into JSON schema / MCP manifest form as needed.

name: rise-orchestrator
description: >
  Orchestrates RISE v2 analysis of codebases, workflows, or conceptual systems.
  Runs structural diagnosis, creative archaeology, spec creation, export, and
  optional git-log-based evolution.

version: 0.1.0

methods:
  - name: start_session
    description: Initialize a new RISE session.
    input:
      type: object
      properties:
        session_id:
          type: string
          description: Optional external session identifier. If omitted, tool generates one.
        target_type:
          type: string
          enum: [codebase, workflow, product, protocol, storyworld, other]
        target_reference:
          type: string
          description: >
            For codebase: repo URL or local path.
            For workflow/product/etc.: free-form description or doc path.
        goals:
          type: array
          items:
            type: string
          description: High-level outcomes the requester wants from this RISE run.
      required: [target_type, target_reference]
    output:
      type: object
      properties:
        session_id:
          type: string
        artifact_index:
          type: string
          description: Path or identifier for the artifact registry for this session.

  - name: run_phase
    description: >
      Run a specific RISE phase (R0–R4) for a given session. Can be called multiple
      times, in order or selectively, depending on prior work.
    input:
      type: object
      properties:
        session_id:
          type: string
        phase:
          type: string
          enum: [R0, R1, R2, R3, R4]
        scope:
          type: object
          description: >
            Optional narrowing: files, components, modules, user journeys,
            or other subcontexts to limit analysis.
        options:
          type: object
          description: Phase-specific options, e.g.:
            R0:
              max_question_rounds: integer
            R1:
              include_beloved_qualities: boolean
            R2:
              spec_formats: array[string]
            R3:
              audiences: array[string]
            R4:
              since_timestamp: string
              max_commits: integer
      required: [session_id, phase]
    output:
      type: object
      properties:
        status:
          type: string
          enum: [started, completed, failed]
        artifacts:
          type: array
          items:
            type: object
            properties:
              id: string
              phase: string
              kind: string
              path: string
              summary: string

  - name: get_artifacts
    description: List artifacts for a session, optionally filtered by phase or kind.
    input:
      type: object
      properties:
        session_id:
          type: string
        phase:
          type: string
          nullable: true
        kind:
          type: string
          nullable: true
      required: [session_id]
    output:
      type: object
      properties:
        artifacts:
          type: array
          items:
            type: object
            properties:
              id: string
              phase: string
              kind: string
              path: string
              summary: string

  - name: get_artifact_content
    description: Retrieve the full content of a specific artifact.
    input:
      type: object
      properties:
        session_id:
          type: string
        artifact_id:
          type: string
      required: [session_id, artifact_id]
    output:
      type: object
      properties:
        artifact_id:
          type: string
        content:
          type: string

  - name: suggest_next_action
    description: >
      Given current artifacts and goals, propose the next structurally sensible RISE step.
    input:
      type: object
      properties:
        session_id:
          type: string
        current_focus:
          type: string
          description: Optional natural-language description of what the local agent is working on.
      required: [session_id]
    output:
      type: object
      properties:
        recommendation:
          type: string
        rationale:
          type: string
        suggested_call:
          type: object
          description: Example arguments for a follow-up run_phase or start_session call.

11. LLMS-TXT REVISION OUTLINE FOR LOCAL AGENTS

Below is an outline you can use as the next llms-rise-framework.txt revision. It assumes the above conceptual structure but keeps text at a level that can be ingested easily by local agents.

You can expand each bullet into prose in your style.

TITLE: RISE Framework for LLMs – Structural-First Spec-Driven Creative Archaeology

SECTION: Meta
- Document ID, Version, Status, Attribution
- Relationship to:
  - Structural Thinking / Structural Tension
  - Creative Orientation
  - SpecLang, Spec Kit, Plain, model specs
  - RISE v1.x, MMOT, Digital Decision-Making

SECTION: Why RISE v2
- Limits of pure prompt-driven or code-centric analysis
- Need for structural diagnosis before creative movement
- Need for spec-driven artifacts that can drive multi-agent toolchains
- Need to keep specs and code in living alignment as systems evolve

SECTION: Core Concepts
- Structure Determines Behavior
- Structural Tension (Desired Outcome vs Current Reality)
- Advancing vs Oscillating Patterns
- Creative vs Reactive Orientation
- Spec as Source of Truth (prose code, implementation-agnostic but sufficient)

SECTION: The Four Phases
- R0 Reality (Structural Thinking)
- R1 Inspect (Creative Archaeology)
- R2 Specify (Intent + Spec)
- R3 Export (Audience Views)
- R4 Evolution (git-log-driven living specs)

SECTION: Phase R0 – Structural Thinking
- Start with Nothing
- Picture What Is Said
- Ask Internally Motivated Questions
- R0 artifacts:
  - r0-structural-observation.md
  - r0-question-log.md
  - r0-diagnosis-summary.md
- Anti-patterns:
  - Hypothesizing
  - Jumping to solutions
  - Importing best practices prematurely

SECTION: Phase R1 – Inspect / Creative Archaeology
- Use R0 outputs as ground truth
- Component-level questions:
  - Creative intent
  - Structural role
  - Contribution to advancing or oscillating patterns
- Feature inventory structured by:
  - Vision-Supporting
  - Tension-Resolving
  - Manifestation
- Beloved qualities as hard constraints
- R1 artifacts:
  - r1-creative-archeology.md
  - r1-feature-inventory.json
  - r1-beloved-qualities.md
  - r1-advancing-vs-oscillating-map.md

SECTION: Phase R2 – Specify
- Spec document set (application, architecture, data, ui, agents, apis, scenarios)
- Creative Advancement Scenario format
- Spec element semantics:
  - Behavior, Layout, Styling, Data
  - Structural tension encoding
- Language patterns:
  - Use vs avoid table
- Connection to SpecLang / Spec Kit / Plain:
  - Prose code as primary
  - Iterative refinement loop
  - Bi-directional ideation
  - Intent-based expression

SECTION: Phase R3 – Export
- Export views:
  - Technical
  - Product/Business
  - UX/Service
  - Agent-oriented
- Export strategies:
  - What to surface for each role
  - How to preserve structural semantics
- Example mappings:
  - Creative Advancement Scenarios → test plans
  - Structural maps → architecture diagrams

SECTION: R4 – Living Spec Evolution
- Temporal gap analysis
- Commit clustering and differential mapping
- Spec upgrade workflow:
  - R0–R2 on changed surface
  - Draft + validate
- Quality criteria:
  - Creative orientation preserved
  - Structural clarity
  - Implementation sufficiency
  - Traceability
- Example dashboard / reports

SECTION: Multi-Agent RISE
- Agent roles:
  - R0.StructuralThinker
  - R1.Archaeologist
  - R2.Specifier
  - R3.Exporter
  - R4.Maintainer
- Artifact index and session IDs
- Coordination protocol (handoffs, status, reviews)

SECTION: MCP Tool Integration
- rise-orchestrator MCP specification (as above)
- Example call sequences:
  - Single-agent use
  - Multi-agent pipeline
- Safety rails:
  - Enforcing Structural Thinking discipline
  - Enforcing creative orientation language patterns

SECTION: Practical Applications
- Legacy code analysis and modernization
- API design and lifecycle evolution
- Narrative systems and storyworld alignment
- Organizational process redesign
- Multi-agent AI systems and protocol design

SECTION: Self-Application (RISE on RISE)
- Using R0–R4 on the framework itself
- Capturing new beloved qualities discovered in practice
- Maintaining RISE specs as a living artifact family

END.

This gives you:


  1. llms-creative-orientation.txt 

  2. llms-managerial-moment-of-truth.md 

  3. llms-delayed-resolution-principle.md 

  4. llms-rise-framework.txt 

  5. llms-leadership.txt 

  6. llms-structural-tension-charts.txt 

  7. llms-digital-decision-making.md 

  8. llms-structural-thinking.gemini.txt 

  9. llms-beyond-numerical-metrics.md 

  10. https://arxiv.org/abs/2310.06770 

  11. https://dl.acm.org/doi/10.1145/3641554.3701800 

  12. https://arxiv.org/abs/2402.19173 

  13. https://link.springer.com/10.1007/s10664-025-10745-8 

  14. https://ieeexplore.ieee.org/document/10992485/ 

  15. https://journals.mmupress.com/index.php/jiwe/article/view/1062 

  16. https://ieeexplore.ieee.org/document/10172792/ 

  17. https://www.semanticscholar.org/paper/1bc624f655c1598e408db854912f3fc157e224bc 

  18. https://dl.acm.org/doi/10.1145/3698205.3729544 

  19. https://arxiv.org/abs/2412.18619 

  20. https://arxiv.org/pdf/2309.05519.pdf 

  21. https://arxiv.org/abs/2209.08385 

  22. https://arxiv.org/html/2503.07413v1 

  23. https://dl.acm.org/doi/pdf/10.1145/3656429 

  24. https://dl.acm.org/doi/pdf/10.1145/3639478.3640025 

  25. https://pmc.ncbi.nlm.nih.gov/articles/PMC11842068/ 

  26. http://arxiv.org/pdf/2501.19222.pdf 

  27. https://f1000research.com/articles/4-50/v2 

  28. https://githubnext.com/projects/speclang/ 

  29. https://tessl.io/blog/why-codeplain-is-betting-on-spec-driven-software-development/ 

  30. https://github.com/prosejs/prose/blob/master/README.md 

  31. https://www.reddit.com/r/ProgrammingLanguages/comments/17s7g03/github_next_speclang/ 

  32. https://ainativedev.io/news/from-implementation-to-intent 

  33. https://www.youtube.com/watch?v=em3vIT9aUsg 

  34. https://www.linkedin.com/posts/kevin-moesker-219235a_github-next-speclang-activity-7198648200784658433-9mLh 

  35. https://tessl.io/blog/spec-driven-development-10-things-you-need-to-know-about-specs/ 

  36. https://githubnext.com/projects/speclang?trk=public_post_comment-text 

  37. https://www.youtube.com/watch?v=f3Yrms9r_n4 

  38. https://dsyme.net/2025/09/24/on-specifications-software-and-tools/ 

  39. https://docs.github.com/en/get-started/learning-about-github/github-language-support 

  40. https://tessl.io/blog/a-look-at-spec-kit-githubs-spec-driven-software-development-toolkit/ 

  41. https://www.linkedin.com/posts/sathish-kumarsubramani_vibecoding-aidevelopment-activity-7353627458945888256-2CIV 

  42. https://docs.github.com/en/enterprise-server@3.10/get-started/learning-about-github/github-language-support 

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