Agentic Systems

Coder by Devascend — AI Development Orchestrator

AI-assisted engineering orchestrator designed around controlled execution, evidence capture, validation, and human approval.

Agentic SystemsActive Development

Executive overview

AI-assisted engineering orchestrator designed around controlled execution, evidence capture, validation, and human approval.

Shifted AI-assisted development toward controlled, reviewable engineering workflows; broader agentic scenarios remain under active development.

Problem

Ad-hoc AI coding produced changes without consistent evidence, isolation, or review controls.

My role

Designed the orchestration model, execution boundaries, evidence flow, and approval gates; contributed to implementation with AI-assisted delivery and reviewed changes before merge.

Core architecture themes

Agent orchestration
Sandboxed execution
Git worktrees
Evidence capture
Approval gates

Key engineering decisions

In progressA concise decision log — options considered, chosen approach, and trade-offs — is being written for the full case study.

Validation approach

In progressThe full case study will describe how behaviour and failure modes were validated before promotion.

Public-safe outcome

Shifted AI-assisted development toward controlled, reviewable engineering workflows; broader agentic scenarios remain under active development.

Capability scope

Implemented

Orchestration model, execution boundaries, evidence capture, and diff review flow.

Validated

Sandboxed execution against reviewable engineering tasks with human approval gates.

Experimental

Broader multi-agent workflows and long-horizon planning remain under active development.

AI tools supported implementation and review. I designed the orchestration model, defined the controls, reviewed the resulting changes and remained accountable for validation.

Current limitations

In progressKnown limitations and boundaries of the current implementation will be documented in the full case study.

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