Seed·Seed
Spec-driven, SRS, and requirements tools
Platforms that treat requirements and specs as first-class artifacts upstream of codegen.
This article is AI-assisted and co-authored by Xesca Alabart, co-founder of EasySpecs.
Spec-driven and SRS tools exist because factories assume a good seed—but most teams only have slides and tickets. These products try to manufacture and maintain structured intent: traceability, standards (e.g. ISO/IEC/IEEE 29148), and links to tests.
Tools in this category
| Tool | Notes |
|---|---|
| AWS Kiro | NL → requirements (EARS) → design → tasks; formal loop. |
| Google Antigravity | Planning / spec iteration before code. |
| aqua cloud | Requirements + test management; Jira/Azure sync. |
| Taskade / PaceAI / Sommo | AI-assisted SRS generation—lighter-weight entry points. |
| Gluecharm | AI-native SRS, micro-agents per field, Neo4j KG, five scopes (Feature, Experience, Service, DataModel, TechStack). |
EasySpecs
EasySpecs is the product surface for Gluecharm’s model: collaborative SRS, change requests, and discovery context from the IDE—see Seed manufacturing system and Requirements gathering.
Related
References
- AWS Kiro — EARS loop
- Google Antigravity — Planning
- aqua cloud — Req + test
- Taskade SRS — Generator
- PaceAI SRS — Generator
- Sommo SRS — SRS + estimate
- Gluecharm — SRS + KG
- EasySpecs — Product