Run CI/CD for millions of repos — on your platform, on Cloudflare
Run CI/CD for millions of repos — on your platform, on Cloudflare
The Agent Development Lifecycle has arrived on Cloudflare
Agents can write code faster than teams can review, deploy, and maintain it. Today we’re introducing the Agent Development Lifecycle and the Cloudflare primitives that underpin it.
Announcing Cloudflare Wallets: The programmable wallet for the agentic Internet
Cloudflare Wallets will provide AI agents with native payments and verifiable identity on the web. Using the x402 protocol, agents can autonomously purchase APIs and content within clear safety guardrails.
Your agent can now debug Workers with local tracing
wrangler dev now produces structured traces for every local request. Your coding agent can hit a single API to pinpoint exactly what failed and why — no deployment required.
Introducing: Cloudflare Agents
Cloudflare Agents brings all of your deployed agent sessions into a single experience, surfacing key information and insights into how your agents perform at scale.
How Cloudflare enforces engineering standards using AI
We created the Cloudflare Codex, a governed body of engineering standards that AI agents consume across the development lifecycle. By pairing structured RFCs with agentic reviews, teams automatically enforce consistency across code, specs, and incident reports.
How we built a software factory to drive Astro’s GitHub issue count to zero
By replacing manual issue verification with isolated AI subagents running in GitHub Actions, the Astro maintainers reduced open issue count by 85%. This post explores the architecture behind automated bug reproduction, patch verification, and preview releases.
Mastering PostgreSQL Configuration Management with CloudNativePG (CNPG)
This blog talks about Configuration Management in PostgreSQL with CNPG, with some great examples in a comprehensive way.
How the GitHub legal team used Copilot CLI to streamline their workflows
Learn how to build tools to simplify how you work—without writing a single line of code.
Turn one giant AI-generated pull request to a reviewable stack
Instead of one huge, un-reviewable pull request, teach coding agents to decompose work into a clean, ordered stack with GitHub stacked pull requests.
Next.js 16.3 support on Vercel
Next.js 16.3 applications on Vercel send 45% fewer prefetch requests, 17% fewer static assets, and have 2x faster path metadata serving.
Introducing the Billable Usage API: programmatic cost visibility for Cloudflare
Cloudflare has launched a new Billable Usage API for accounts, giving developers and FinOps teams single-endpoint programmatic visibility into cost and usage across all self-serve products. Built around the FOCUS specification, spend can now be tracked seamlessly alongside the rest of your cloud stack.
Your agent needs a computer, not a container — introducing @cloudflare/computer
Agents need more than just a container to scale. We're introducing @cloudflare/computer, an agent runtime that dynamically orchestrates between fast, efficient isolates and full Linux containers to give every agent a computer of its own.
Smaller, faster, safer: running Kimi and GLM at scale
Serving frontier models like Kimi and GLM means fighting for GPU memory. Here's how we quantize KV caches, compress model weights, and add integrity checks to serve them faster, cheaper, and safely.
Workers RPC now works across Python and JavaScript
One coding agent can write a Python Worker and another can write a JavaScript Worker. At runtime, those Workers can exchange references to live objects and call their methods without defining APIs, schemas, or serialization code.
Cloudflare Workers and Containers now support inbound TCP connections and gRPC
Cloudflare Workers now support inbound TCP connections via Spectrum, allowing direct socket forwarding to Durable Objects and Containers. Developers can run full-duplex gRPC applications or leverage automatic gRPC-to-gRPC-web translation directly within Workers.
Code, craft, and the making of nested folders
From treating code as a proposal to turning handoffs into conversations, here's how we shaped a new way of working to ship nested folders.
GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model
Meta’s Generative Ads Recommendation Model (GEM), the foundation model behind ads recommendations across Instagram and Facebook, now trains at LLM scale on several thousand of the latest-generation GPUs. This post goes into the details on how we achieved: doubling end-to-end (E2E) training efficiency to 20–25% Model FLOPs Utilization (MFU) while scaling training FLOPs 4x in […]
How Factory scaled its cloud backend to one billion monthly requests on Vercel
Welcome to Agents Week
Agents Week explores how cloud infrastructure must evolve to serve autonomous agents rather than human browsers. Join us as we unpack the storage, execution, and security primitives needed for an agent-native web.
Bug blindness
There's no reason for software to be slow anymore
The benchmarkpocalypse
