01ENGINEERING MODULE
Multi-agent planning
The planner creates structured artifacts through specialized agents and offers iterative validation of code-generation prompts.
Verification: Implementation inspected; execution not independently reproduced
AI ENGINEERING / CASE STUDY
CodeForge Ultimate.
A research-driven family of AI software engineering pipelines.
AGENT / 01
Software delivery pipeline
01Plan
02Build
03Test
04Review
Illustrative visualization of the workflow, not an application screenshot. Authentic media will be added after review.
01 / THE PROBLEM
Overview
A modular engineering research platform comprising specialized planning agents, alternative code generation routes, automated completion and repair tools, container-oriented testing, and experimental model adaptation.
Software engineering extends well beyond generating files from a prompt. Planning, architecture, implementation, dependency resolution, test execution, error correction, and validation require different processes. This project investigates how to coordinate those responsibilities—and how to measure whether they actually work.
DOMAINAI Engineering
STATUSIn development
SOURCEPrivate / not publicly linked
02 / THE SYSTEM
Core capabilities
01
A nine-agent planning system for requirements, research, architecture, specification, code prompts, testing, documentation, and validation
02
An artifact-driven planner-to-builder coordinator, with separate sequential and dependency-aware execution paths
03
Several builder implementations for project scaffolding, code generation, and refinement
04
Distinct code-completion, double-check, final-review, and Docker-based test-runner components
05
An experimental data collection, LoRA fine-tuning, and model-evaluation subsystem
Capabilities are summarized from project documentation; feature-by-feature implementation verification is a launch prerequisite.
02B / RESEARCH ARCHITECTURE
A family of pipelines
These subsystems are present in the reviewed source tree, but they do not all form one fully verified execution route. Each is labeled according to the evidence currently available.
02ENGINEERING MODULE
Pipeline coordination
A coordinator connects planner output to builder tasks and records events and status. A separate parallel scheduler is under regression review.
Verification: Source integration inspected; scheduler validation pending
03ENGINEERING MODULE
Generation and scaffolding
Modular builders parse planning artifacts, initialize project structures, and invoke model-backed code-generation utilities.
Verification: Implementation inspected; end-to-end acceptance pending
04ENGINEERING MODULE
Completion and repair
Specialized agents target incomplete functions, imports, API gaps, TODOs, quality checks, and follow-up code repairs.
Verification: Multiple implementations present; cross-pipeline enforcement pending
05ENGINEERING MODULE
Test execution
A standalone test runner includes repository discovery and Docker-based execution paths, with read-only mounts and restricted container network settings by default.
Verification: Isolation design inspected; current test results not reproduced
06ENGINEERING MODULE
Adaptive-model research
Research modules collect planner, builder, and tester artifacts for dataset processing, CodeLlama LoRA fine-tuning, and evaluation.
Verification: Experimental implementation; no independently verified training run
07ENGINEERING MODULE
Development interfaces
Several web and IDE prototypes explore streamed progress, process controls, project visualization, and integrated development workflows.
Verification: Prototype interfaces; not represented as one validated product
Pipeline architecture is a source-based technical overview, not a claim that every optional or experimental subsystem has been independently benchmarked.
03 / SEE IT IN ACTION
Video demonstration
Verified demonstration in preparation
An authentic workflow recording will appear here after media review and validation.
04 / SYSTEM DESIGN
Architecture overview
Explore the major logical stages identified in the current project documentation.
COMPONENT 01
Specification
A request enters the planning subsystem and is transformed into staged requirements, research, architecture, and code-prompt artifacts.
Conceptual architecture drawn from project documentation. Select each stage to inspect its purpose.
Read the architecture as a list
- Specification: A request enters the planning subsystem and is transformed into staged requirements, research, architecture, and code-prompt artifacts.
- Coordination: Selected coordinator routes prepare outputs for builder entrypoints. The actual dependency and execution behavior varies by pipeline.
- Generation: Modular builders scaffold project structures and generate source files using selected model clients.
- Quality tools: Separate completion, checking, code-fixing, and test-runner modules can analyze generated artifacts; integration differs across variants.
- Evaluation: The research program aims to measure task correctness, failures, resources, and reproducibility under independently scored acceptance criteria.
05 / ENGINEERING APPROACH
Technical decisions
Separate the stages of engineering
The source includes distinct planning, generation, checking, testing, and model adaptation components. Different entrypoints coordinate different subsets; this portfolio does not present them as a single fully verified production pipeline.
Use intermediate artifacts as interfaces
The planning system writes structured specifications and code prompts for downstream builders. These artifacts make subsystem behavior inspectable and form a basis for reproducible evaluation.
Treat verification as a measured outcome
Code completion and repair modules can inspect or modify programs, but generated-file existence and simulated progress are not substitutes for independent functional tests. Controlled validation is the current research priority.
This section describes engineering decisions and project aims. It does not assert research novelty without a literature comparison.
06 / VERIFICATION
Evidence & limitations
Available documentation
Primary-source architecture inspection
The private Coding_Pipeline repository was inventoried across its root directories and selected executable code paths. Distinct planning, builder, checking, testing, and model-adaptation components were located.
Integration boundaries identified
Some newer interface orchestration stages still simulate testing or progress. Source presence therefore does not imply the full loop has been experimentally verified.
Research validation protocol
An internal protocol defines isolated execution, held-out tasks, explicit failures, reproducibility records, and separate verification of each pipeline family.
Known limitations
- The repository contains several related implementations, copies, experimental components, and generated outputs; they have not been validated as one integrated production system.
- A subset of interface-oriented verification stages is demonstrative rather than a measured testing or repair execution.
- No independent end-to-end benchmark, production-readiness result, model fine-tuning outcome, or comparative efficiency result has yet been established for this portfolio.
- Private source and internal technical audit material are withheld from public download pending review.
07 / RESEARCH RECORD
Research & publications
No associated research publications have yet been approved for public listing. Technical reports and reproducibility resources will appear here once reviewed.
Research library ↗08 / ONGOING WORK