What are the Top Automated Cloud Agent Workflows for Platform Engineering Teams

Cloud agents help platform engineering teams reduce friction, triage alerts, and automate fixes using Continuous AI across GitHub, Sentry, Snyk, and more.

The Platform Gap: How to Scale Your Engineering Without Scaling Headcount (Yet)

Caught in the "Platform Gap"? Discover how small full-stack teams use Continuous AI to automate maintenance tasks—like Sentry triage and Snyk patching—without hiring a dedicated Platform Engineer.

Bug Reports Should Fix Themselves: Dogfooding Our Slack Cloud Agent with GitHub and Linear

How to Automate Bug Reporting with AI Agents: A Guide to Slack, GitHub, and Linear Integration

Newsletter

Continue Newsletter - Winter Launch Week 2025

Why are you manually bridging the gap between your tools? Continue updates turn your fragmented toolchain—Slack, Sentry, GitHub, and more—into a self-healing system.

Introducing Metrics in Mission Control: Measure the Real Impact of Your Cloud Agents

Track the real impact of your cloud agents with Metrics in Mission Control. See workflow runs, PR output, automation trends, and measurable Continuous AI performance.

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Transform DevTool Alerts Into Automated Engineering Workflows with Continue

These integrations let your existing developer tools become triggers for automated AI workflows—no changes to your stack, no new dashboards, no new process overhead.

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AI is Glue

LLMs are the new glue code for engineering workflows. See how AI connects deterministic tools like the GitHub CLI and Snyk API, filling the gaps to automate complex tasks that were previously impractical.

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Turn Slack Conversations into GitHub PRs Automatically

Turn Slack conversations into GitHub issues, tasks, and pull requests automatically with Continue’s cloud agent integrations. Reduce workflow friction and automate engineering processes directly from Slack.

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Automate Your Developer Work in Two Clicks with Cloud Agents

Turn repetitive developer tasks into ai automation in two clicks. Draft changelogs, improve test coverage, optimize your site, or customize what your team needs—all without writing scripts or configuring CI/CD.

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Introducing Mission Control: Your Upgraded Developer AI Dashboard

Continue's Mission Control redesign makes it faster to set up AI workflows that turn signals from your devtools into automated fixes, PRs, and documentation. See what's new and start building today.

How Continue Cloud Agents Increase Developer Productivity

Automate the dev tasks you keep avoiding. Continue Cloud Agents turn friction-heavy “frog” work into fast, review-ready output so your team ships faster.

Stop Asking AI to Build the Whole Feature: The Art of Focused Task Decomposition

When you get task decomposition right, you start to see patterns. The tasks that repeat themselves become obvious, and you can use AI to automate them.

Trust Builds Through Repetition, Not Demos

From supervised to autonomous: trust builds gradually through repetition.

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Individual Workflows Scale Linearly. Composed Workflows Compound.

Composed workflows create exponential advantages through interconnection.

Self-Driving Dreams Requires Open Roads

Self-driving SaaS requires open workflows that connect all your tools.

What Are Continue Agents? Any Workflow, Your Team's Way

Agents are shareable, remixable, and ready to run from CLI, mission control, or automation. Designed to solve a specific task with your team's standards built-in.

You Can't Rent Your Competitive Advantage

Your competitive advantage: built on workflows only you can create.

The Hidden Cost of Tool Switching

Context switching kills flow. Every switch between your IDE and ChatGPT adds time, errors, and cost. Integrated AI tools keep you productive.

How to Get the Most Out of Your AI Agent

Learn how to configure AI agents with the right context, tools, and workflows to ship code faster, all without leaving your IDE or terminal.

Beyond Code Generation: How Continue Enables AI Code Review at Scale

Generative coding started with autocomplete and has evolved into sophisticated code generation. But what if your AI assistant could do more than just write code? What if it could reason about your codebase, enforce standards, and provide intelligent feedback? This is where Continue transcends its identity as a coding assistant

Chiseling: The Art of Polishing Vibe Code

Vibe coding gives you velocity, but chiseling gives you quality. It's the critical human judgment that separates a prototype from production code.

My New Developer Workstation: NVIDIA DGX Spark

When NVIDIA asked if we wanted to test the new DGX Spark as a daily driver, I said yes immediately.

From Vibe Engineering to Continuous AI

Vibe coding emerged earlier this year to describe fast, loose experimentation with AI. Now, Simon Willison has proposed "vibe engineering": Vibe coding is irresponsibly building software through dice rolls, not caring what code is produced What about when engineers at the top of their game use AI tools

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How I Simplified Open Source Contributions with Rules, Prompts, and AI Agents

How trying to reduce friction for contributors led me to discover the difference between being clever and being more effective with AI using rules and prompts.

Granite 4 Models Available on Continue

Great news for developers using Continue. We're partnering to make the latest Granite 4 models available right where you work, with a focus on efficiency, long-context reasoning, and flexible deployment from laptop to data center. This post summarizes what's coming, why it matters for engineering teams,