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raml-org
raml-spec
Learning & Reference2015–2025
raml-org / raml-spec · Archived

raml-spec

RAML Specification

4Distinct people
7Mentions
0Explicit recommenders
3.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

RAML Specification

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 9:01:12 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year7 dated mentions

Observed mentions: 2015-10-01 06:24:54 UTC to 2025-10-15 03:28:12 UTC.

01232015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC110
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC101
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC303

What Hacker News says

3 sources
> are there no existing languages comprehensive enough for this? In my experience, RAML[0] is worth adopting as an API specification language. It is superior to Swagger/OpenAPI in both being able to scale in complexity and by supporting modularity as a first class concept: RAML provides several mechanisms to help modularize the ecosystem of an API specification: Includes Libraries Overlays Extensions[1] 0 - https://github.com/raml-org/raml-spec/blob/master/versions/r... 1 - https://github.com/raml-org/raml-spec/blob/master/versions/r...
In Beliefs that are true for regular software but false when applied to AI
> The goal is to build a language and system model that allows us to reliably sandbox and support agents in constructing "Trustworthy-by-Construction AI Agents." 1 - Reliability implies predictable behavior. 2 - Predictable behavior implies determinism. 3 - LLM's are non-deterministic algorithms. In the link you kindly provided are phrases such as, "increases the likelihood of successful correct use" and "structure for the underlying LLM to key on", yet earlier state: In this world merely saying that a system is likely to behave correctly is not sufficient. Also, when describing "a suitable action language and specification system", what is detailed is largely, if not completely, available in RAML[0]. Are there API specification capabilities Bosque supports which RAML[0] does not? Probably, I don't know as I have no desire t
Read the rest
o adopt a proprietary language over a well-defined one supported by multiple languages and/or tools. 0 - https://github.com/raml-org/raml-spec/blob/master/versions/r...
In Beliefs that are true for regular software but false when applied to AI
> How does one even write an API client against a REST API that only publishes the initial entry point? in particular, how should the client discover the resources that can be manipulated by the API or the request/response models? HAL[0] is very useful for this requirement IMHO. That in conjunction with defining contracts via RAML[1] I have found to be highly effective. 0 - https://datatracker.ietf.org/doc/html/draft-kelly-json-hal 1 - https://github.com/raml-org/raml-spec/blob/master/versions/r...
In gRPC vs. REST: Understand gRPC, OpenAPI and REST and When to Use in API Design

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