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spec-kit
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github / spec-kit

spec-kit

💫 Toolkit to help you get started with SDD or any other process!

41Distinct people
44Mentions
1Explicit recommenders
149.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

💫 Toolkit to help you get started with SDD or any other process!

GitHub

Where it is used

  • prabogo — Prabogo now uses Spec Kit to bring spec-driven development into the project, making it easier to guide your AI agent with structured commands during development. Source

What people are saying

Yeah, the online Gemini app is not good for long lived conversations that build up a body of decisions. The context window gets too large and things drop. What I’ve learned is…

mattarm used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

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

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 11:56:56 AM 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 month44 dated mentions

Observed mentions: 2025-09-04 09:06:23 UTC to 2026-08-21 00:01:40 UTC.

0510152025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 16 mentions; 15 submissions, 1 commentsSep 20252025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 6 mentions; 1 submissions, 5 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsFeb 20262026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-07-01 00:00:00 UTC to 2026-08-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2026-08-01 00:00:00 UTC to 2026-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 2026

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
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC16151
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC615
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC514
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC101
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC101
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC202
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC404
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC101
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC413
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC101
Jul 20262026-07-01 00:00:00 UTC2026-08-01 00:00:00 UTC202
Aug 20262026-08-01 00:00:00 UTC2026-09-01 00:00:00 UTC101

What Hacker News says

44 sources
Location: India (UTC+5:30 / IST) Remote: Yes (primary preference) Willing to relocate: Yes, for the right role Technologies: Java, Spring Boot, Python, REST APIs, PostgreSQL, SQL, Docker, Git. Strong DSA (LeetCode Knight — top 1.7%, 1,157 solved, 226 Hard) and comfortable building from scratch — designed & implemented DhrLang, a small programming language (lexer/parser/interpreter). Résumé/CV: https://dhruvrastogi.me Email: dhruvrastogi2004@gmail.com Backend engineer, ~1 YoE (Associate SWE at MAQ Software). Recently shipped an open-source extension to GitHub's Spec Kit (118k stars) adding EARS requirements support — PR: https://github.com/github/spec-kit/pull/3324 I like backend / platform / developer-tooling work: APIs, data models, and owning services end to end. Looking for a remote backend or full-stack role.
In Ask HN: Who wants to be hired? (July 2026)
virgin project: 1/ spec driven dev (https://github.com/github/spec-kit) 2/ then degrade to multiple sessions (no worktrees) debugging various problems until its done On UI Design (MacOS, Web): 1/ AI does a first pass. Try to give it style guidance on my own (colors, style, etc). 2/ Prompt ChatGPT.com with screenshots and ask for recommendations on how to make it better. 3/ Codex the changes (with minor edits) 4/ loop 2-3, ask Gemini for feedback too
In Ask HN: What is your (AI) dev tech stack / workflow?
Lately, everyone has been sharing SKILL.md and AGENT.md files. I think the more important layer is actually SPEC and MEMORY. That is the idea behind this repo: Ultimate Project combines two separate disciplines: Beastmode -> the software engineering discipline spec-kit -> the structure and organization of specs Beastmode gives the engineering workflow. spec-kit gives the project a clear spec foundation. Putting them together creates a development loop where the system starts from specs, keeps context in memory, and follows a more structured implementation lifecycle. Combination Repo: https://github.com/senolcolak/ultimate-project beastmode: https://github.com/BugRoger/beastmode spec-kit: https://github.com/github/spec-kit For small project, a simple history file ./store-my-history in a dir works. For bigger projects, I think structured sp
Read the rest
ecs + engineering memory matter much more than prompt files alone. I’d be curious how others here are handling spec organization, memory, and iteration flow in agent-driven development.
In ultimate-project, combining spec discipline and engineering memory, no vectordb

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