Status: Living document based on production experience Last updated: 5-Jun-2025
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Research, expert perspectives, and product announcements from Atlassian on how teams can work smarter with AI. Subscribe for monthly insights on the future of teamwork.
Home - Inside Atlassian
Research, expert perspectives, and product announcements from Atlassian on how teams can work smarter with AI. Subscribe for monthly insights on the future of teamwork.
Home - Inside Atlassian
Research, expert perspectives, and product announcements from Atlassian on how teams can work smarter with AI. Subscribe for monthly insights on the future of teamwork.
One Developer, Two Dozen Agents, Zero Alignment
Why we need collaborative AI engineering and a tour of Ace: the multiplayer coding workspace
AI Coding & Cloud | Meetup
This group started January 2016.We are about extraordinary advances in software creation, maintenance, and hosting.We are a gathering of good natured people for encouragement and support of what you do.This is your group! How you can help:1. Help to publicize events at work, with friends, and especi
Who cleans up after the vibe-coding party?
Our obsession with AI code-writing tools is overwhelming the web’s unsung human caretakers
Why Human Guidance Matters in Collaborative Vibe Coding
Writing code has been one of the most transformative ways for human societies to translate abstract ideas into tangible technologies. Modern AI is changing this process by enabling experts and non-experts alike to generate code without actually writing it, instead using natural language instructions or "vibe coding". While increasingly popular, the impact of vibe coding on productivity and collaboration, and the role of humans in this process, remains unclear. Here, we introduce a controlled experimental framework for studying collaborative vibe coding and use it to compare human-led, AI-led, and hybrid groups. Across 20 experiments involving 737 human participants, we show that people provide uniquely effective high-level instructions for vibe coding, whereas AI-provided instructions often result in performance collapse. We further demonstrate that hybrid systems perform best when humans lead by providing instructions while evaluation is delegated to AI. Although AI systems can rapidly optimize performance for specific tasks, our work highlights the importance of human guidance in shaping future hybrid societies.
The Phoenix Architecture
Generative AI coding demands what we've always known: modularity, clear boundaries, disposable components. Principles that scaled human teams are now table stakes. Here, we make the implicit explicit
The New SDLC With Vibe Coding
Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons.
The AI-native SDLC playbook
Anthropic's stage-by-stage playbook for the AI-native SDLC: how teams plan, design, build, test, deploy, and maintain software with Claude.
The 70% problem: Hard truths about AI-assisted coding
A field guide and why we need to rethink our expectations
The 70% problem: Hard truths about AI-assisted coding
A field guide and why we need to rethink our expectations
Essential Reading for Agentic Engineers - July 2025 | Peter Steinberger
Fresh insights on AI-assisted development: practical experiences with Claude Code and the evolving landscape of full-breadth developers in the age of AI
AI Makes the Easy Part Easier and the Hard Part Harder for Developers
AI handles writing code but leaves the hard work: investigation, context, validation. Why vibe coding has limits and AI assistance can backfire.
Vibe Coding Failures: Documented AI Code Incidents
A curated directory of real-world incidents where AI-generated code failed in production.
