I used to spend more time switching tools than shipping code.
Markdown notes in one tab.
JIRA in another.
ChatGPT in a fresh window—copy-paste, tweak, reset.
VS Code running, browser inspecting, Slack pinging.
By noon, my mental RAM was gone—
And I hadn’t written a single line I trusted.
It wasn’t about skill.
It was about friction.
So I built the workflow I wish I had 1,000 commits ago.
One that doesn’t fight my flow.
One that helps me think, not just code.
One that learns with me—not over me.
Here’s how it works.
The Problem: Too Many Tools, Not Enough Context
Every tool I used gave me pieces of the workflow:
Chatbots helped debug, but forgot everything between prompts
IDE plugins helped suggest, but lacked strategic insight
Docs helped explain, but didn’t adapt to my style
Notes were scattered—stored in silos I never revisited
I was doing everything “right” on paper.
But my brain was juggling too many surfaces.
And every context switch cost me something invisible:
Creative confidence.
I needed a system that didn’t just answer questions—
It had to remember the why behind the work.
Step 1: Start With a Thinking Partner
Every morning, I open AI Companion—not my IDE.
I write:
“Yesterday I was working on refactoring the notification module. I think I overcomplicated it.”
“Here’s what’s bothering me about the current structure…”
It mirrors back the mental model:
“Sounds like the core issue is coupling between modules.”
“Want to compare two refactor strategies based on your current stack?”
“Would a state-aware pattern help here?”
This isn’t just coding help.
It’s technical coaching.
Before I commit, I understand.
Step 2: Break Down Work With Intelligent Prioritization
Instead of writing a to-do list on sticky notes, I use Task Prioritizer:
“Here’s my sprint backlog. What’s the best order based on complexity, flow state, and test coverage?”
It ranks tasks using logic I’d otherwise burn cycles on:
High-leverage commits first
Deep work sessions scheduled early
Tedious refactors batched for low-energy windows
I don’t waste 30 minutes deciding where to start.
I just start where it counts.
Step 3: Refactor With Context
When I’m stuck in spaghetti code—
Or inheriting legacy logic I didn’t write—
I use Document Summarizer to upload the old module, and prompt:
“Summarize this module’s logic in plain English.”
“What design flaws stand out in this structure?”
“Which patterns would make this more modular?”
Instead of guessing, I get a grounded, second brain.
The AI shows me not just what the code does—
But why it’s fragile.
Then I code with purpose, not panic.
Step 4: Proof, Polish, and Simplify
Before I commit anything, I run snippets through Improve Text:
“Make these comments cleaner.”
“Rewrite this README for clarity, not fluff.”
“Is this function name too vague?”
It’s like having a senior dev peer-review my tone, structure, and naming conventions—without judgment or delay.
Even my commit messages get sharper.
Code gets clean.
Docs stay readable.
And everything I ship feels just a little more intentional.
Step 5: Capture and Reuse the Knowledge
This is the piece I missed for years.
Great insights would show up in AI chats—then vanish.
Hard-won lessons would die in Slack.
Fixes would get lost in the scroll.
Now I use Crompt to archive all chats with memory, tag insights by topic, and resurface them later.
“What did I learn about debounce logic last month?”
“Did I already debug this auth issue before?”
“How did I name this pattern in the last service I built?”
The system remembers—so I don’t have to.
What I’d Tell My Past Self (And Maybe You)
Don’t wait until burnout to fix your workflow.
Don’t settle for context switching as a default.
You don’t need to become a DevOps guru.
You don’t need 15 Chrome extensions.
You just need a space that matches how your developer brain works:
Thought-first, not tool-first
Context-aware, not context-blind
Calm, smart, and quietly powerful
And ideally—no more bouncing between browser tabs like it’s 2020.
The Takeaway: Great Dev Workflows Think With You
You can’t outsource your craft.
But you can amplify your thinking.
This AI workflow didn’t write code for me.
It cleared the path—so I could write the code I actually meant to write.
Fewer distractions.
Cleaner commits.
More flow, less fatigue.
I built it late.
But not too late.
And I’ll never code without it again.
-Leena:)
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