7 AI prompting strategies for coding to try today
Bill Doerrfeld | June 9, 2025
My
latest for LeadDev explores specific prompting techniques proven to level up AI-assisted software development.
Prompting strategies are evolving fast — and they're making AI coding way more productive.
I recently spoke with Justin Reock, deputy CTO at DX, to unpack how engineering leaders are already using techniques like meta prompting, prompt chaining, one-shot prompting, and even adversarial chats to sharpen their output.
Some clever adjacent strategies? Try switching media, assigning a role to your LLM, or tweaking the system prompt.
DX's latest report has some great guidance on boosting reliability and avoiding common pitfalls. I pulled together a practical summary for LeadDev — give it a read
here.
Photo by Jason Leung on Unsplash.
My latest on InfoWorld reviews MCP servers from 5 major cloud providers
How are organizations actually using agentic knowledge bases in practice? My article for The New Stack looks at six emerging patterns.
My report for the eBPF Foundation explores enterprise eBPF case studies, production deployments, and real business outcomes across cloud-native environments.
Longtime Bottomless user sharing why I love automated coffee delivery triggered by a smart scale, plus a referral link for a free first bag.
MCP servers can quickly drain context windows without guardrails. Thankfully, there are ways around this, say the experts.
It may seem like AI agents are suddenly doing everything across industries. But in reality, the pace of agentic AI is moving carefully, and very deliberately, in highly regulated environments like finance and banking.
My latest feature for InfoWorld explores when it makes sense to scrape public web sources, and when official API integrations are the better choice for external data.
What does it mean to go nano with your software updates — to "carve with a scalpel" instead of swinging a hammer? For my latest DirectorPlus piece, I caught up with Chainguard VP Dustin Kirkland to dig into that idea.
I recently moderated a webinar that brought together three luminaries in the API community to discuss the importance of API standards in agentic AI development.
The more folks use MCP servers in development, the more they’re realizing it can lead to runaway token usage, unpredictable response sizes, and flooded context windows.
