The Breakpoint

The Latest

Five of the most interesting recent dev tool (or dev tool-adjacent) launches on the site. 

Inbox by Novu – An open-source notification inbox designed to centralize and streamline in-app notifications. It helps developers manage alerts efficiently across different channels without building a custom solution.

Bucket DX – A feature flagging tool with a CLI, toolbar, and event log for better release management. It gives developers precise control over feature rollouts, making testing and deployment smoother.

Tinybird Forward – A platform for handling real-time data at scale, optimizing query performance and analytics. It’s built to help developers process large data sets quickly without complex infrastructure.

Unify – An open-source AI observability tool designed to track, monitor, and analyze AI models. Think of it as Notion for AI systems, providing insights and visibility into model behavior.

Pieces Long-Term Memory Agent – An AI-powered assistant that remembers everything you code, making past work instantly searchable. It’s like having an always-on developer notebook that tracks your progress automatically.

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New Relic

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Developers on steroids

JPMorgan Chase is betting big on AI-powered coding assistants, claiming they’ve boosted developer efficiency by up to 20%. That means fewer hours spent on boilerplate code, debugging, and documentation—AI now handles the tedious stuff so engineers can focus on high-value projects like AI and data-driven systems. In theory, it’s a win-win: developers write less grunt code, and the bank moves faster. But if AI is handling the fundamentals, what does that mean for junior devs trying to learn the ropes?

For JPMorgan’s 63,000 tech employees, AI isn’t just another tool—it’s becoming part of the team. The bank has already identified 450 AI use cases, with plans to scale to 1,000 next year, turning software development into an increasingly AI-driven workflow. That’s great for productivity, but it also raises questions: if AI automates too much, do developers risk becoming code reviewers instead of creators? Will AI-generated code introduce unseen technical debt at scale?

The bigger question: Are we witnessing the start of AI-powered engineering teams, or are developers slowly being relegated to babysitting machines that write the code for them?

You’re doing code reviews wrong 🔥 

AI is evolving how we work and if you're using it in development, most likely you're using it to generate code but what about reviewing it? You actually might be missing a crucial way of using AI, for code reviews. Jump in and ask Graphite's CEO Merrill Lutsky your questions about building, reviewing code, and how AI can make...or break your development cycle. 

Graphite is a developer workflow tool where teams create, review, and merge code continuously.