Spec-driven development (SDD) & repo artifacts as reproducible agent context
Key Questions
What is Spec-driven development (SDD)?
Spec-driven development (SDD) is an approach highlighted as a potential future of AI coding, featured in guides and discussions like the SDD guide planned for May 2026. It involves using specifications to drive AI agent workflows for reproducible results. Related content questions if it's hype or the real future of AI coding.
What benefits does Graphify offer for AI coding agents?
Graphify makes any coding AI agent 10x smarter, faster, and 70x more token efficient, as per its description. It's free and integrates with tools like those in the highlight. Videos demonstrate its impact on agent performance.
How do Pazi team agents work?
Pazi team agents operate 24x7 on platforms like Linear, GitHub, and Slack, enabling autonomous tech deployments. They represent new Verdent/Pazi team agents for collaborative workflows. A demo video shows their setup and usage.
What is vibe-testing with KaneAI?
Vibe-testing with KaneAI involves JIRA and E2E self-healing tests using GenAI native test agents that write tests based on vibes. It's an evolution from vibe-coding. A video explores the world's first such agent.
How does Claude Code compare to Cursor?
Claude Code and Cursor are compared in 2026 analyses, with Cursor supporting AI pair programming in the IDE. Claude offers skills fixing AI agent failures, gaining 60K stars quickly. Zapier reviews which is best for coding.
What are the key Claude Code skills recommended by Matt Pocock?
Matt Pocock's Claude Code skills fix the 4 biggest AI agent failures, earning 60K stars in 3 months. Engineers are installing them for enhanced performance. The article details why they are essential.
What is DeepClaude and its role?
DeepClaude enables running Claude Code with cheaper models and integrates with tools like those listed. It's part of evals and workflows. Related videos and articles highlight its use in agentic setups.
What agentic workflows are suggested for side projects?
Leveraging agentic workflows means shifting to agent-first orchestration for scaling output, beyond AI-assisted coding. Tutorials cover this for side projects. Tools like RPA and Refine-Plan-Act patterns are emphasized.
AI Harness/PIV/RPA/Jira/Claude desktop agents/OpenClaw+PlayMCP(Gemma4)/GitNexus/Scadable/Graphify 70x eff/Supabase evals/DeepClaude/Cursor; new Verdent/Pazi team agents (GitHub/Slack)/KaneAI vibe-testing (JIRA/E2E self-healing)/Vaadin Java workflows/agentic side project tuts/GitLab Duo MRs/Keploy test gen/vibe coding RAG sites/CLAUDE.md fix/METR 19% slowdown/Faros +91% PR/Spec Kit 92K; IBM Concert risks; Spec27/IBM Bob/Codex; SDD guide (May 2026). Prod benches/CI prototypes/pair-prog/GitNexus/AI Harness/Aider/Graphify/RPA/DeepClaude/Verdent/Pazi/Keploy/GitLab next.