sdlc

The tweet shares an article that consolidates recent trends in AI integration with the Software Development Life Cycle (SDLC), offering new insights and explanations.

Introduces ADLC Team Skills, an open-source repository that brings shared team coding standards, architecture rules, and eval benchmarks to AI coding agents like Claude Code and Codex via agent skills, slash commands, and session-start event hooks.

An open-source SDLC harness is claimed to be up to 75% cheaper than Claude Code on tasks it handles well, with a discussion of where it falls short.

AutoDev Studio is an open-source, model-agnostic multi-agent SDLC harness that orchestrates a chain of agents to automate the software development lifecycle, reducing costs by 7–75% compared to Claude Code for similar tasks.

AutoDev Studio is an open-source multi-agent AI coding harness that reduces costs by building a persistent repository knowledge base, outperforming cold-start Claude Code runs on large repos in most tasks.

This post describes how to build a self-improving code review agent as part of a cloud software factory, using a code review skill, GitHub actions, and an outer-loop agent for continuous improvement.

Guardian is an open-source SDLC orchestrator that transforms business intent into an enforcement pipeline, ensuring code matches architecture via a single .pi/ directory.

This article compares the traditional Software Development Life Cycle (SDLC) with the emerging 'agentic SDLC' approach, which incorporates AI agents into the software development process.

Augment's Cosmos platform enables AI agents to handle the full software development lifecycle, dramatically reducing code review time from hours to minutes by automating routine checks and focusing humans on design decisions.

Shubham Saboo announced a free 50-page guide on shifting from vibe coding to agentic engineering, covering the AI agents-based software development life cycle.

Devin is positioned as an AI Engineering platform covering the entire software development lifecycle, from planning to documentation, with integrations and features that enhance developer experience.

The next era of AI software development moves coding agents into production; Cognition introduces Devin Auto-Triage for automated incident response and PR generation.

The article argues that AI-native software engineering, where agents assist throughout the full software development lifecycle, yields much higher productivity gains than applying AI only to code generation, citing Gartner and McKinsey research and Ascendion's experience with 10,000+ agents in production.