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Releases: dratiux/FinalCode

FinalCode v5.0.0 — Organization Intelligence Platform

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@dratiux dratiux released this 14 Jul 01:44

FinalCode v5.0.0 introduces the largest architectural evolution since the project began.

This release expands FinalCode beyond repository-level engineering into organization-wide engineering intelligence while preserving full backward compatibility with every previous feature and workflow.

Highlights

Organization Intelligence Platform

  • Organization-wide engineering analysis
  • Multi-repository intelligence
  • Cross-repository relationships
  • Shared engineering knowledge
  • Organization-level reporting
  • Portfolio-wide engineering visibility

New Architecture

The internal architecture has been expanded from 5 layers to 7 layers, introducing dedicated Organization Intelligence and Learning/Capability layers while preserving the existing execution pipeline.

New Components

Fourteen new core modules were added, providing organization-scale engineering capabilities including:

  • Organization analysis
  • Repository portfolio management
  • Cross-project intelligence
  • Engineering governance
  • Shared decision intelligence
  • Organization health reporting
  • Knowledge aggregation
  • Multi-repository recommendations
  • Organization metrics
  • Portfolio evolution tracking
  • Repository relationship analysis
  • Shared engineering memory
  • Organization dashboards
  • Enterprise reporting

Documentation

Updated:

  • SKILL.md
  • README.md
  • CHANGELOG.md
  • SUPPORTED.md

All architecture diagrams, dependency graphs, version history, and documentation have been synchronized with the new platform architecture.

Compatibility

  • Fully backward compatible with v4.x
  • Existing operating modes unchanged
  • Existing certification profiles preserved
  • Existing policies preserved
  • Existing capabilities preserved
  • Existing workflows preserved

No breaking changes.

Repository Status

  • 14 new core modules
  • Architecture expanded to 7 layers
  • Repository consistency audit passed
  • Dependency graph verified
  • Documentation synchronized
  • Zero broken internal references

FinalCode v5.0.0 establishes the foundation for organization-scale engineering intelligence while maintaining the reliability, verification, and evidence-based principles introduced in earlier releases.

FinalCode v4.4.0 — Context-Aware Certification Framework

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@dratiux dratiux released this 14 Jul 01:01

FinalCode now understands what it is analyzing before deciding how to certify it.

This release introduces a context-aware certification system that adapts engineering requirements based on repository type, deployment target, architecture, maturity, and intended usage—while preserving the same engineering standards.

The previous certification behavior remains available as the Default Certification Profile, ensuring full backward compatibility.


Highlights

Context-Aware Repository Classification

  • Automatic repository classification before analysis
  • Project type, architecture, deployment target, technology stack, and maturity detection
  • Confidence scoring with evidence and reasoning
  • Repository intent detection (Commercial, Open Source, Internal Tool, Brand Website, SaaS, etc.)

Certification Profiles

  • 12 built-in certification profiles
  • Context-specific mandatory, optional, and ignored quality gates
  • Profile-specific release requirements
  • Default profile preserves v4.3.0 behavior

Adaptive Rule Engine

  • Context-aware rule evaluation
  • Rules categorized as:
    • Always Required
    • Context Required
    • Optional
    • Ignored
  • Every rule decision is fully explainable

Engineering Context

Every report now begins with a dedicated Engineering Context section including:

  • Project classification
  • Repository intent
  • Deployment model
  • Technology stack
  • Active certification profile
  • Context confidence
  • Engineering assumptions

Context-Aware Health Scoring

Health scoring is now multidimensional:

  • Engineering Quality
  • Production Readiness
  • Repository Maturity
  • Documentation Quality
  • Operational Readiness
  • Security Readiness
  • Maintainability
  • Certification Score

Smarter Recommendations

Roadmaps now adapt to repository context and include:

  • Engineering impact
  • Expected ROI
  • Estimated effort
  • Priority
  • Context dependency

False Positive Reduction v2

Improved finding accuracy using:

  • Project type
  • Repository intent
  • Framework conventions
  • Architecture
  • Deployment model
  • Engineering maturity

Every suppressed finding includes a documented explanation.

Context Memory

Historical repository context is now stored and reused across future analyses, improving consistency while remaining evidence-based.


Included Components

  • Project Classification Engine
  • Certification Profiles
  • Adaptive Rule Engine
  • Rule Applicability
  • Engineering Context Report
  • Context-Aware Health Score
  • Context-Aware Roadmap
  • False Positive Reduction v2
  • Repository Intent Detection
  • Context Memory
  • Context Documentation

Backward Compatibility

  • Fully backward compatible
  • Existing operational modes unchanged
  • Security Gate 2.0 unchanged
  • Default Certification Profile preserves previous certification behavior
  • No breaking changes

Summary

FinalCode v4.4.0 represents a fundamental evolution in engineering certification.

Instead of applying identical requirements to every repository, FinalCode now evaluates engineering quality within the context of the project itself. This significantly reduces false positives, improves recommendation accuracy, and produces certifications that better reflect real-world engineering expectations—without lowering engineering standards.

FinalCode v4.0.0 — Autonomous Engineering Agent

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@dratiux dratiux released this 13 Jul 20:17

FinalCode v4.0.0 introduces the largest architectural evolution since the project began.

This release transforms FinalCode from a collection of engineering workflows into a goal-oriented engineering agent capable of planning, orchestrating, tracking, and verifying complete software engineering missions.

Highlights

Goal-Oriented Planning

  • Execute engineering tasks from high-level objectives instead of manually selecting operating modes.
  • Automatically determine the required workflows to achieve the requested goal.

Planning Engine

  • Generate execution strategies.
  • Build workflow sequences.
  • Estimate engineering gain, duration, confidence, and dependencies before execution.

Workflow Orchestration

  • Dynamically coordinate Repair, Refactor, Review, Production Audit, Certification, and other workflows.
  • Execute workflows in the correct order with verification between stages.

Adaptive Decision Engine

  • Re-plan automatically when new blockers are discovered.
  • Insert approval gates when architectural, security, or business-critical decisions require human review.

Engineering Missions

  • Treat every request as a complete engineering mission.
  • Preserve execution history, verification, outcomes, and engineering context.

Objective Tracking

  • Track progress, completed work, remaining tasks, blocked items, and current execution stage throughout the mission.

Autonomous Recommendations

  • Generate evidence-based recommendations for future improvements after each completed mission.

Mission Dashboard

  • Present a unified engineering view including progress, workflow status, verification results, engineering score delta, and roadmap updates.

Backward Compatibility

All previous capabilities remain fully supported, including:

  • Analysis Intelligence
  • Engineering Intelligence
  • Execution Intelligence
  • Continuous Engineering
  • Autonomous Engineering Workflows

No breaking changes were introduced.


Version: 4.0.0

Commit: 826f6f3

FinalCode v3.2.0 — Engineering Decision Intelligence

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@dratiux dratiux released this 12 Jul 22:16

Overview

FinalCode v3.2.0 introduces the Engineering Decision Intelligence architecture.

This release shifts the focus from detecting engineering issues to understanding repository context, correlating related findings, evaluating engineering trade-offs, and producing structured execution plans.

The objective is to make FinalCode reason more like a senior software engineer rather than a rule-based analyzer.


Highlights

Repository Intelligence Engine

FinalCode now profiles the repository before analysis begins.

The generated Repository Profile includes project architecture, frameworks, build system, testing strategy, dependency structure, coding conventions, documentation coverage, engineering signals, and risk indicators.

This shared context is used throughout the entire analysis pipeline.


Cross-Finding Correlation

Related findings are no longer treated as isolated observations.

FinalCode now identifies:

  • Root causes
  • Finding clusters
  • Cause and effect relationships
  • Duplicate findings
  • Engineering themes
  • Consolidated recommendations

This reduces report noise and produces more meaningful engineering conclusions.


Engineering Trade-off Analysis

Recommendations now include engineering reasoning beyond severity.

Each recommendation evaluates:

  • Engineering cost
  • Implementation complexity
  • Breaking change risk
  • Maintenance impact
  • Expected engineering benefit
  • Engineering ROI

When multiple valid solutions exist, FinalCode explains why one approach is preferred.


Repository Maturity Assessment

Repositories are now evaluated across multiple engineering dimensions, including:

  • Architecture
  • Security
  • Testing
  • Documentation
  • Maintainability
  • Developer Experience
  • CI/CD
  • Release Process
  • Dependency Management

Each assessment includes evidence-based justification and an overall Engineering Maturity Level.


Engineering Execution Plan

Reports now conclude with a prioritized implementation roadmap.

Instead of presenting only a list of findings, FinalCode organizes work into execution phases with estimated engineering effort, dependencies, expected risk reduction, and projected repository health improvements.


Documentation

Documentation has been updated to cover:

  • Repository Intelligence Engine
  • Correlation Engine
  • Engineering Trade-off Analysis
  • Repository Maturity Model
  • Engineering Execution Planning
  • Updated Decision Engine architecture
  • Examples and reference material

Compatibility

This release is fully backward compatible.

No existing functionality has been removed or changed.

Preserved components include:

  • 13 Quality Gates
  • Security Gate 2.0
  • Certification Engine
  • Existing report structure
  • Plugin SDK
  • Knowledge Base
  • Configuration model

All additions are non-breaking.


Installation

npx skills add dratiux/FinalCode

To update an existing installation:

npx skills add dratiux/FinalCode --update

Focus of v3.2.0

This release is centered on improving engineering reasoning rather than expanding rule count.

FinalCode now aims to understand the repository first, correlate evidence second, evaluate engineering decisions third, and produce a practical execution strategy backed by explainable analysis.