ai-first-sdlc

Core SDLC rules, validators, enforcement, and workflows

Cross-cutting specialist agents — architects, researchers, performance engineers

AI/ML specialist agents — architects, prompt engineers, RAG designers

Full-stack agents — frontend, backend, API, DevOps architects

Cloud infrastructure agents — cloud, container, SRE specialists

Security agents — security, compliance, privacy specialists

Project management agents — agile coach, delivery manager, progress tracking

Documentation agents — technical writer, documentation architect

Python-specific validation, patterns, and expert agents

JavaScript/TypeScript-specific validation and patterns

Filesystem-based project knowledge base — librarian agent, hash-tracked indexes, cross-library queries with priming + synthesis, audit log, parallel map-reduce bulk ingest, ingest/query/lint operations

Programme SDLC bundle — formal waterfall phase gates with mandatory cross-phase review (Method 1 substrate)

Regulated-industry SDLC bundle (Method 2): positional namespace IDs, bidirectional traceability, DDD decomposition, KB extension to code, standard-specific exports (DO-178C, IEC 62304, ISO 26262, FDA DHF). v0.2.0: audit-ready at the tooling layer — typed evidence statuses, multi-format evidence model, platform-neutral dependency extractor, indirect DES-mediated coverage

Containerised delegated execution — Archon DAG workflows with team-scoped Docker containers, tiered termination, 4 bundled workflows, 6 skills