Engineering SDLC Spec Engine
AI-assisted architecture and engineering-feasibility system
The problem
Engineering feasibility reviews typically took four to eight weeks, depended heavily on senior engineers' institutional knowledge, and could include building a proof of concept that later proved to be the wrong approach.
What I owned
- Designed and implemented the AI-assisted feasibility system.
- Encoded senior engineering review patterns into a repeatable workflow.
- Used the system's findings to influence how large proposals were decomposed.
How the architecture works.
Architecture-first feasibility loop
Repository, architecture, and API context is converted into an evidence-backed feasibility report, automatically validated, then refined through explicit human engineering judgment.
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Read the architecture as text
- Repositories + architecture artifacts + API contracts — crawl + correlate → Service responsibility + capability map
- Service responsibility + capability map — reason over evidence → Options + limitations + risks
- Options + limitations + risks → Initial feasibility report · ~1 minute
- Initial feasibility report · ~1 minute → Automated report validation · ~1 minute
- Automated report validation · ~1 minute → Human architecture review · ~5 minutes
- Human architecture review · ~5 minutes — engineering judgment → Scope refinement + next iteration
- Scope refinement + next iteration — iterate → Options + limitations + risks
Explore the design decisions and capabilities
- Crawl distributed repositories and architecture artifacts.
- Map service responsibilities.
- Review API contracts.
- Identify existing capabilities, feasible options, alternatives, limitations, and missing technology before a proof of concept is built.
- Surface engineering risks and required research.
- Assess implementation feasibility and sequencing.
- Produce an initial review through a single command.
What changed.
- Replaced a four-to-eight-week feasibility cycle that could include an incorrect proof of concept with an architecture-first options and limitations review before implementation.
- Produces an initial report in approximately one minute, validates it in approximately one minute, and requires approximately five minutes for manual reading and verification.
- When product and engineering collaborate live, they can generate, review, and complete several refinement iterations in less than one hour.
What it unlocked—and what comes next.
Future architecture
Introduce an event-driven supervisor, inspired by the supervisor engineering pattern, that reacts to lifecycle events and dispatches the next task, job, agent, or script while retaining explicit human review gates.
Requirements document generated or updated
Triggers: Engineering feasibility report
Feasibility report reviewed
Triggers: Requirements scope refinement
Scope approved
Triggers: Work decomposition
Decomposition approved
Triggers: Engineering estimation
Estimates approved
Triggers: Capacity planning
Capacity plan approved
Triggers: Scheduling
Plan and tasks approved
Triggers: Code generation and implementation tasks
Implementation artifacts produced
Triggers: Automation and delivery pipelines
Public evidence
This project is approved for discussion; no public repository or demonstration is linked.