This is what the software factory looks like in practice. Not a grand architecture. A series of small bottleneck removals, measured and iterated.
www.continue.dev/blueprint to learn more about our factory
But faster bug reporting is just faster triage if you stop there.
The second piece: a Continue skill that works through the backlog and runs a 5 whys on each issue. Not "what broke" but "why did the process allow this to reach staging."
That's what actually reduces future bugs.
Your software factory is only as good as what gets fed into it.
We found a gap in ours: engineers spotting jank in staging and moving on because filing a bug was too much work.
So we one-shotted a bug report tool: screenshots, network requests, console logs, straight to Linear
Quality control for your software factory.
We just launched Continue on Product Hunt.
Source-controlled AI checks on every pull request.
Would love your support: www.producthunt.com/products/con...
Yesterday I shipped 29 PRs, renewed my passport, and had two conversations that landed on opposite ends of the same question.
blog.continue.dev/283-net-line...
🔊
amplified.dev is a single-page essay arguing developers are amplified, not automated. One HTML file, inline CSS, vanilla JS. No frameworks.
We wrote 11 checks for it. Checks don't have to protect code — they can protect taste. Here's what ours look like.
Introducing Metrics in Continue Mission Control 🚀
Visibility, clarity, and accountability are foundational paths toward trustworthy Continuous AI. Your agents produce real engineering output, and now you can see it all in one place.
🔗 blog.continue.dev/metrics-for-...
Read more on how your team can save time using our new integrations:
blog.continue.dev/ai-developer...
If your tools can emit it, Continue should be able to act on it.
Introducing Integrations. Now your cloud agents can intake signals from Snyk, PostHog, Sentry, and more to automatically investigate issues and generate PRs.
Let Continue Integrations handle the first pass 👇
Test it out today: hub.continue.dev
Learn more about how you can turn dev signals into AI action, run one-off tasks, and track your AI impact with our new Mission Control: blog.continue.dev/introducing-...
🚀 Mission Control just got a major upgrade.
Your Agents, Tasks, Workflows, and Integrations are now in one clean, fast developer dashboard.
From GitHub to Sentry to Snyk, every signal in your stack can now trigger real action inside your repo.
I wrote a post on how I use @continue.dev config to own my AI code review data. Looking forward to improving AI with code reviews I can fine tune.
briandouglas.me/posts/2025/1...
We DMed you.
We are evolving from vibe coding → vibe engineering → Continuous AI
- Vibe coding = fast AI experimentation
- Vibe engineering = sophisticated AI-assisted production development as individuals
- Continuous AI = orchestrating agents across your entire dev lifecycle as a team
Introducing Instinct 🐺, a new state-of-the-art open Next Edit model trained by @continue.dev
Runnable with @ollamabot.bsky.social and available today in VS Code
Continuous AI means less intervention, more sophisticated automation, and new enterprise features like audit trails. As these tools mature, the most transformative advances will come from developers who dare to automate beyond the expected.
blog.continue.dev/beyond-the-e...
Most of the time, maintaining your codebase and fixing what's broken is the difficult part.
That's one of the reasons why we built Next Edit. From callback-to-async conversions to comprehensive bug fixes, it understands real developer editing patterns.
🔗 blog.continue.dev/next-edit-po...
Code editing just got a lot faster.⚡Introducing Next Edit⚡
Next Edit delivers real-time, multi-line suggestions at up to 1100 tokens/sec, powered by @inceptionlabs.bsky.social Mercury Coder, the world’s first commercial-scale diffusion LLM for code.
No one wants to wait for sequential tool calls if they don't have to. That's why at Continue, we have parallel tool calling.
Another great Continue feature: Parallel Tool Calling.
Instead of read file A → wait → read file B → wait → read file C, it requests them all at once.
📝 Learn more in our blog: blog.continue.dev/parallel-too...
✍️ Blog Posts
Plan Mode: Your LLM’s Safe Sandbox: blog.continue.dev/plan-mode-yo...
The Psychology of Coding & Why Planning Matters: blog.continue.dev/the-psycholo...
📘 Docs
Plan Mode Overview: docs.continue.dev/features/age...
Step-by-Step Guide: docs.continue.dev/guides/plan-...
Want to dig deeper into Plan Mode? We’ve pulled together resources to help you see how it works and why it matters 🧵👇
We're doing something different this week.We're sharing 5 features that show how we think about AI coding tools. Each day, we'll share:
The problem we're solving → Why we built it → Developer stories.
Follow along if you’re interested in AI tools that fit into your workflow.
Continuous AI is a practical way to transform how teams write, review, and ship code.
We’re sharing our definition, the Continuous AI Maturity Model, and the metric that matters most. Read now: continue.ghost.io/ghost/#/edit...
We're excited to have Brian Douglas (@bizza.pizza), Head of DX for @continue.dev, presenting "Continuous AI Best Practice" at #AllThingsOpen! 2025.allthingsopen.org/sessions/con...
