Faster Coding Requires Redesigning Everything

AI coding agents are getting faster. The codebases they edit are getting larger. Those two lines are moving in opposite directions. Speed without structure means more confident mistakes, not fewer. An agent that charges through a 200k-line repo in seconds is only impressive if it knew what to touch. The industry is optimizing for velocity. The correctness problem is quieter, but it compounds every sprint. Where are you seeing this play out on your team?

TL;DR: Dynatrace + AI coding assistant = 🪄✨ Magic ✨🪄 Check out my latest blog how developers can go from symptom to fix in minutes with AI-assisted development. Read it here: https://lnkd.in/eyMdMiSD

Does an AI coding agent actually work less when it reads less code? I spent some time exploring this question through real coding-agent experiments across different models. The results challenged some of my initial assumptions and revealed a few interesting lessons about efficiency, correctness, and how agents navigate code.Ive shared the findings, including what worked and what didn't. Curious to hear other developers thoughts. #AIAgents #SoftwareEngineering #OpenSource

From my conversation with Jason Torres on Coffee and Open Source, we talk about how AI can do more than generate code. It can break through phase-zero paralysis. It's real power is helping developers start, structure, and build momentum. https://lnkd.in/g-Bm9DaX

Building new things relies on the org chart just as much as the codebase. Brief captures that human layer by pulling decisions and their reasons from Slack, Linear, and meeting notes. We serve this context to the agent via ask_brief exactly when it chooses an approach. AI Ships. Brief Navigates.

You won’t read the code. One thing holding developers back with AI is still believing they’ll eventually read it all. Let that go.

🧠 Claude chats losing context mid-flow? A fresh open-source solution is giving AI conversations a long-term memory, letting Claude pick up exactly where it left off across sessions. It's built for devs who want context persistence without the boilerplate, turning repetitive re-introductions into seamless continuity. 📌 Key features: 🗂️ Persistent memory storage that survives Claude restarts and session boundaries 🔌 Minimal-integration API hookup - plug in and let context stick naturally Whether scaling personal assistants or building client-facing bots, this approach cuts noise and keeps the AI dialed into the actual conversation. Link to the repo in the comments section below 👇 #AI🧠 #ClaudeMem💾 #DevTools🛠 #Productivity⚡ #claude-mem If you have learned something new: ♻ Repost ♻ 💾 Save this post for later if it caught your eye but you don’t have time to read it now 💾

Risks, risks, risks. Don't you have something good to say about AI? Sure. Remember the old days, when you looked at code, and asked: How did it get here? And then you remember reading through docs, and design specs, and then had all this in your mind. Then you added coffee, and got the code. Now you need to tell a coding agent what to do. It will build it for you. But "what you tell it" can also be recorded. The intent close to coding, that couldn't be extracted from your mind before, now can be captured, recorded and tracked. In a good way. See, not all bad. But the rest of the risks are real. So here's the webinar's recording - Link in first comment. https://lnkd.in/eX4Jsgdx #AITesting #AIGeneratedCode #SoftwareTesting #CodeQuality #QualityEngineering

Risks, risks, risks. Don't you have something good to say about AI? Sure. Remember the old days, when you looked at code, and asked: How did it get here? And then you remember reading through docs, and design specs, and then had all this in your mind. Then you added coffee, and got the code. Now you need to tell a coding agent what to do. It will build it for you. But "what you tell it" can also be recorded. The intent close to coding, that couldn't be extracted from your mind before, now can be captured, recorded and tracked. In a good way. See, not all bad. But the rest of the risks are real. So here's the webinar's recording - Link in first comment. https://lnkd.in/ex_Yxpwg #AITesting #AIGeneratedCode #SoftwareTesting #CodeQuality #QualityEngineering

Nobody gets paged at 2am because of a demo. AI code usually breaks later, in production, when real users and real data hit it. 78% of US tech leaders say they’ve already seen it happen. At Abstra, AI writes the first draft and a senior professional decides what ships. That decision is what keeps your production quiet