Peter Wood | Data + AI Academy Instructor @riverthink
Leads health tech, delivering data-driven, AI-led digital transformation. Mentors career development and individual growth. Here to help…riverthink.com/academy London, EnglandJoined March 2026
@kidtsang Yeah, I must admit I’ve been struggling to reconcile a traditional Agile/Sprint based approach with Agentic Dev. 2 week sprints seem way to long these days 🤩🤩
🤯 Ralph might be the simplest idea in AI-assisted development right now… and that’s exactly why it’s so powerful.
Write a PRD → break it into small stories → let an agent pick the next task → code → test → commit → learn → repeat.
No giant context windows.
No endless chat sessions.
No “please continue” prompts.
Just a fresh coding agent each iteration, with memory stored in git, progress logs, and structured requirements.
The lesson isn’t that agents are getting smarter.
It’s that software delivery is becoming more systematic.
Spec-first. Test-first. Agent-executed.
Ralph feels less like vibe coding and more like the early blueprint for autonomous software engineering. 🚀
🎓🎓 github.com/snarktank/ralph#AI#AgenticAI#ClaudeCode#OpenSWE#SoftwareEngineering#BuildInPublic#DevTools
✅The future of coding has arrived.
❌If you’re not using this, you’re doing it wrong 🤩🤩😂
🎓Introducing Open SWE: An Open-Source Asynchronous Coding Agent
➡️ youtu.be/TaYVvXbOs8c?si…
Really nice question. I usually tie autonomy to risk: low-risk actions can be automated, while higher-risk decisions require human approval. The key is making guardrails dynamic, so the agent knows when to escalate rather than blindly execute.
🎓 MY TOP 10 PATTERNS FOR PRACTICAL AGENTIC AI
💯Start simple, then add RAG, tools, memory, guardrails, human review, reflection, observe-reason-act loops, delegation, and open protocols as risk and workflow complexity grow.
🎓More at my Academy
→o.riverthink.ai/academy
❓WHAT'S THE DIFFERENCE BETWEEN TRADITIONAL ENTERPRISE WORKFLOW & AGENTIC WORKFLOW IN HEALTHCARE?
❌The biggest mistake is adding AI to existing workflows without redesigning them.
💡Follow for more tips.
🎓Or join my Academy
🎓→o.riverthink.ai/academy
@iltroiani Thanks, Davide. Good point. My thinking is that we start with a spec-driven approach to define the requirements and direction, then switch to conversational iteration for smaller, more surgical changes and refinements….
Hey Esteemed Founders, Builders and Followers.
WHAT'S YOUR DEFAULT AI CODING WORKFLOW TODAY?
I'm curious whether the industry is moving beyond "chat + iterate" into spec-driven and agentic workflows, or whether most of us are still building conversationally. #buildinpublic
Modern AI System Architecture: How Production AI Systems Actually Work
After learning
- LLMs
- Prompt Engineering
- Embeddings
- Vector DBs
- RAG
- Hallucinations
- Function Calling
- Structured Outputs
- Agents
- Local LLMs
- Streaming
- Cost Optimization
- Security
you now
@AiCamila_ Thanks for posting this. It always surprises me how little love there is for GitOps. So I made it part of my Data and AI Academy.
riverthink.com/academy
@RamSingh_369 That's an interesting list, but the growth area is most likely to be Quantum Processor Units (QPU) from companies like IBM, Google, IonQ, Rigetti, etc.
@dougsapps Hi @doughapps We're finding that chat+iterate starts off super-fast. But it very quickly deteriorates into a complex beast, which then dramatically slows down due to technical debt...
We start with good intentions on the left and end up with something unmaintainable 😳😳
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