BekahHW

Let me go back to where this started. A moderator on Dev.to flagged my post and told me to disclose...

This story won’t resonate with everyone, but I’ve heard it enough to know that it’s uncomfortably...

Let’s do a small experiment. Imagine two identical blog posts. They have the same ideas, structure,...

For most people, writing a blog post isn’t solitary work. It’s talking to your friend over coffee and...

Last week, one of my blog posts was flagged on Dev.to. I want to be clear that this series is not...

Frontier labs are paying a billion dollars a year for the same kind of session reasoning your team generates and deletes every night. The asset isn't the code the agent produced. It's the path the agent took.

AI agent workflows are no longer single requests. They are stateful, branching systems that mutate their own context over time. Request logs, traces, transcripts, and bills flatten that structure. Teams need telemetry primitives that preserve session lineage, cache topology, and prompt shape.

Virtual Coffee has always been a free, volunteer-led developer community supporting the tech...

What looks productive in an AI session often hides a whole layer of alignment work we do not even notice while we are doing it.

As the Director of Alignment at Meta Superintelligence Labs, Summer Yue’s job is keeping AI aligned...

An interactive guide to the three communication patterns that power AI tools and why tool chains break when context runs out.

Knowing what a prompt or model is doesn’t mean you'll be successful with AI. This post breaks down the three layers that improve your AI systems work: prompts, workflows, and tool chaining.

Smart, curious people keep hitting the same wall with AI: they don't have the words to name what they don't understand. Here are the terms that turn vague frustration into specific, solvable problems.

A quiet line in the GPT-5.3 Codex announcement revealed something bigger: AI is now participating in the process that improves AI. Why that changes development velocity.

Communities used to be where you went to ask questions and get help. Now that AI can answer most of those questions, what are communities actually for? Here's what the shift means for community builders and members.

Amazon bans Claude Code internally. Enterprises quietly block Copilot. Security teams flag agentic...

A practical guide for software teams deciding where cloud agents help, where they don’t, and how to start without creating new risks.

Security alerts aren’t the problem, manual fixes are. See 5 security chores you can offload to Cloud Agents.

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.

Continue’s Slack agent uses MCP integrations to turn conversations into actions across GitHub, Linear, and your codebase—without breaking developer flow.

Every team has one, and, tbh, a lot of relationships have one. The person who remembers. For teams,...

During the pandemic, professional communities became stand-ins for friendship, therapy, and identity. That was survival mode. Today, they're moving back to their real job: sharing knowledge, solving technical problems, and driving collaboration.

During the pandemic, I occupied the same space—a Zoom room-with members of the Virtual Coffee...

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

Tips for configuring AI agents with the right context, tools, and workflows.

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.

ChatGPT has no idea what you're working on. Build an AI Assistant today using Continue's cn CLI and our new cookbooks if you really want to amplify your productivity.

Why do developers resist planning? Discover how AI planning tools like Continue’s Plan Mode and a 15-minute workflow can help developers leverage System 2 thinking.

My new career journey is about helping developers understand not just how to use AI, but when and why.

AI reasoning models like Grok 4, o1, Claude 4 Thinking, and DeepSeek R1 score 20-30 points higher on intelligence benchmarks than traditional models. Learn how to configure multi-model AI coding setups for maximum developer productivity.