
Why developers need AI that actually gets Their context
Tired of re-explaining your codebase to AI every week? Discover why developers need context-aware AI that remembers your workflow. Learn how Workstream Activity, Sources, and Time Ranges in Pieces give you control, continuity, and a searchable memory for your entire dev process.
You know the drill.
It's Monday morning. You fire up your IDE, stare at the screen, and... what was I working on again?
You waste 20 minutes hunting through commit messages, trying to remember why you left that TODO comment. Or you find yourself re-explaining your entire codebase to ChatGPT for the third time this week because it has zero memory of your previous conversations.
Sound familiar? You're not alone. Most AI tools treat every interaction like you're meeting for the first time. They don't understand your project, your patterns, or the context that makes you productive.
What you really need isn't another generic AI assistant. You need one that actually gets your workflow and remembers it.
Meet Workstream Activity: Your Development Context, Captured
This is exactly why we built Workstream Activity in Pieces.
Instead of starting from scratch every single time, Pieces automatically captures your development workflow, the code you write, the docs you reference, the Stack Overflow answers that finally clicked, even those Slack conversations where the real decisions happen.
Think of it as your personal development journal, but one that writes itself and actually helps you code better.
With Workstream Activity, you can:
Jump back into last week's feature without re-reading every PR comment
Resume that side project from months ago and know exactly where your head was at
Onboard a new team member by sharing a living history of your recent work
It's like having a photographic memory for your entire development process.
You own your data: the sources you choose
Here's where we're different from every other AI tool out there, you control what I can see.
Through the Sources tab, you decide which parts of your workflow you should remember:
Working on a critical bug fix? Let me access your GitHub issues and recent commits
Don't want your personal browsing mixed with work context? Keep it separated
Need me to understand a specific project? Connect just those relevant repositories
Your code stays local. Your privacy stays yours. Because the best AI doesn't just remember everything—it remembers what matters to your work.
Time travel through your code: smart time ranges
Ever remember when you solved something but not where you put the solution?
With Time Ranges, you can scope my memory to exactly when things happened:
"Show me what I was debugging last Tuesday"
"What was that architecture discussion from our sprint planning?"
"Find that regex I wrote for the CSV parser three weeks ago"
No more archaeology through your commit history. Just ask, and I'll surface exactly what you need.
Why this changes everything
Most AI assistants are glorified search engines. They wait for your prompt, generate a response, then forget you exist.
Pieces is built differently:
Context-aware – I understand your entire development workflow, not just isolated questions Privacy-first – Your code never leaves your machine unless you explicitly choose to share it Workflow-native – I integrate with the tools you already use, when you use them Continuously learning – I get better at helping you as I understand your patterns
The real impact
If you've ever wished your AI could keep up with your actual development process, instead of forcing you to constantly re-explain your project, this is your answer.
You don't need another generic coding assistant. You need an AI that understands your codebase, your workflow, and your way of solving problems.
Workstream Activity eliminates the context-switching tax
Smart Sources keep your data under your control
Time Ranges make your development history searchable
Together, they create an AI that finally feels like it was built by developers, for developers—not by a marketing team trying to sell you "the future of coding."
Ready to stop losing context and start building on it instead?