Builders 🔧 | 2026-03-31
1,300+ news scanned → ~210 analyzed → 14 selected
Codex, OpenAI's multi-agent coding assistant, has seen a 5x usage increase since January. It now writes over 90% of its own code and is transforming software engineering practices at OpenAI.
Mitchell Hashimoto, co-founder of HashiCorp, shares how AI tools have transformed his day-to-day workflow, impacting software engineering and infrastructure management.
Fly.io now offers GPU instances, enabling developers to harness the power of large language models, transcription, and image generation on their platform.
Tigris provides globally distributed object storage, addressing the limitations of centralized services like S3 for modern, geographically-distributed applications.
Fly.io, a global public cloud, has developed a new system to enable fast, seamless draining of worker servers with attached storage volumes, addressing a critical engineering challenge.
Fly Kubernetes is a managed Kubernetes service that simplifies the complexity of operating the Kubernetes control plane, enabling developers to focus on deploying their workloads.
AWS credentials no longer needed on Fly.io with OIDC-based access to AWS resources, enabling secure, easy integration between cloud platforms.
AI tools like Claude Code have become mainstream for software engineers, with 95% using them weekly and 75% relying on them for half their work.
How to use Replicate to integrate Stable Diffusion into hacks, apps, and projects.
We’re Fly.io and we transmute containers into VMs, running them on our hardware around the world with the power of Firecracker alchemy. We do a lot of stuff with WireGuard, which has become a part of our customer API.
By default, Vercel automatically determines the right command for installing your project's code dependencies in the Build Step based on the Framework Preset configured for your project and the presence of certain files (like package-lock.json) in...
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Cloudflare rewrote Next.js in 1 week with a single developer, challenging open-source business models.
Mercury, a fintech company, has a 2-million-line Haskell codebase that has scaled well despite rapid growth, demonstrating Haskell's production-ready capabilities.
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