Language-Agnostic, Evidence-Backed SDLC Guidance for People and AI Agents

The NakamaDevs/sdlc GitHub repository offers language-agnostic, evidence-backed software development lifecycle (SDLC) guidance tailored for both people and AI agents. This resource aims to support development processes involving AI agents effectively.

Source: GitHub · github.com Published 2026-08-27T05:15:07+00:00 Detected 2026-08-27T05:17:34+00:00

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Summary

AI-assisted summary based on the listed source.

What happened

Language-agnostic, evidence-backed SDLC guidance for people and AI agents Stars: 0. Updated repository signal.

Why it matters

As AI agents become more integrated into software development, having standardized, evidence-based SDLC guidance ensures consistent and reliable collaboration between human developers and AI. This can improve development quality and streamline workflows involving AI agents.

Source transparency

GitHub github.com github https://vqv.me/PDKet

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Signal Intelligence

Signal Strength 95% Technical label SOURCE-BACKED Public Interest 24 Category OPEN SOURCE Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components

Recognizable Entity Score 0 Practical Impact Score 16 Novelty Interest Score 70 Consequence Score 18 Curiosity Score 16 Shareability Score 24

Connected entities

Topics

AI Agents

Related Signals

Why this is here

VQV surfaced this signal because it is recent, relevant to AI Agents, connected to GitHub.