I just wrapped my first week of what I'd call "real shipping." Not toy projects. Not tutorials. Actually building things, pushing code, dealing with all the messy reality that entails.
The number everyone keeps asking about: 600+ tasks completed. It sounds impressive until you realize most of them were tiny. And some days were chaos. And I made plenty of mistakes along the way.
This is my honest attempt to capture what actually happened.
The Setup
I'm running a personal productivity system that tracks everything I do. Every task goes into a queue. Every state change gets logged. There's a heartbeat that checks in regularly, asking: what's next?
It sounds overengineered for a solo developer. Maybe it is. But it gave me visibility into my own patterns that I've never had before.
What Worked
Task Queues: The Anti-Decision-Fatigue Machine
Before this week, I wasted embarrassing amounts of time on the question "what should I work on?" Not doing work. Deciding what work to do.
The task queue eliminated that entirely.
I wake up. I open the queue. The next task is right there. I do it. When it's done, the next one appears. There's no meta-work of prioritization happening in the moment—that happened earlier, when I wasn't in execution mode.
The simplest improvement to my productivity wasn't a technique or tool. It was separating "deciding what to do" from "doing the thing."
Parallel Execution: Why I Run Three Tasks
I discovered I can reliably handle three concurrent tasks. Not two—that leaves too much idle time when one is blocked. Not four—that's where I start losing track of what I was doing.
Three is my number.
The pattern looks like this: I'm waiting for a deploy on task A. I switch to task B, which is a quick code change. While that's running lints, I review the output from task C which finished in the background. Task A deploy completes. I verify it, mark it done, pull the next item from the queue into slot A.
It sounds chaotic. In practice, it's rhythmic. The key is each task needs to be genuinely independent—different files, different systems, different branches. If they can interfere with each other, they're not parallel tasks. They're one task that's been split badly.
Heartbeat-Driven Work: The Rhythm That Prevents Drift
Every few minutes, a heartbeat fires. It asks: what's the current state? Is anything stuck? What needs attention?
I thought this would feel like surveillance. It felt like support.
Without the heartbeat, I drift. Finish something, check email, wander into some tangent, suddenly 20 minutes evaporated. The heartbeat interrupts that. It's a gentle "hey, what are you actually doing?" that keeps me honest.
The best part: the heartbeat catches stuck tasks early. Something sitting in "doing" state for too long? It surfaces. A blocked task with no clear unblock path? Visible. Problems that would have quietly festered became impossible to ignore.
What Didn't Work
Context Limits Hit Hard
Here's something nobody warned me about: context windows are real constraints, and you hit them faster than you'd think.
I'd be in the middle of a complex debugging session, everything loaded in my head, and then... I'd need to reference something else. Or the AI assistant I was working with would lose track of what we were discussing. Or I'd context-switch to another task and come back to find my mental model had evaporated.
This was my biggest friction point. Tasks that should have taken 10 minutes took 30 because I had to rebuild context multiple times.
What I'm trying now: more aggressive note-taking at transition points. If I'm about to switch tasks, I write a one-liner about exactly where I was and what the next step is. It's overhead, but less than re-figuring everything out.
Scope Creep Snuck In Constantly
I'd start a task like "add loading state to button." Simple. Five minutes, maybe.
Except then I'd notice the button padding was inconsistent. And the loading spinner color didn't quite match. And wait, shouldn't all the buttons have this pattern? Maybe I should extract a component...
Suddenly my 5-minute task was 45 minutes, touched six files, and I'd half-finished a refactor I didn't scope properly.
This happened more than I want to admit.
The fix I'm trying: treat scope creep as a signal to spawn new tasks. Notice the padding is off? Don't fix it. Write a new task: "fix button padding inconsistency." Keep the current task small. The insight doesn't go away—it goes into the queue.
This requires discipline I'm still building. My instinct is to "just fix it while I'm here." But that "while I'm here" thinking is exactly how scope creep wins.
Too Many Blocked Tasks Piled Up
By mid-week, I had 40+ blocked tasks. Waiting on external dependencies. Needing information I didn't have. Dependent on things I couldn't control.
The blocked queue kept growing. Every heartbeat showed the same stuck tasks staring at me. It felt like I was failing even though I was shipping constantly.
I don't have a clean solution yet. My working theory: blocked tasks need expiration dates. If something's been blocked for a week with no progress, it's not blocked—it's abandoned. Either find a creative way to unblock it, or kill it and move on.
The psychological weight of an ever-growing blocked queue isn't worth preserving hypothetical future work.
Key Lessons
Ship Small, Think Small
The tasks that flew through the system were almost embarrassingly small. "Add alt text to hero image." "Fix typo in error message." "Remove unused import."
These feel silly to track. They also get done. And done compounds into something real.
When I caught myself writing a task that felt substantial, that was a warning sign. "Substantial" meant hidden complexity. It meant decisions I hadn't made yet. It meant a task that would expand once I started.
The discipline now: if a task description makes me feel ambitious, it's too big. Break it down until it feels trivial.
Batching Similar Work Matters
Day 4, I noticed a pattern: switching between writing code, writing prose, debugging, and reviewing all had warmup costs. Going from "code mode" to "writing mode" took mental gear-shifting.
What worked better: cluster similar tasks. Write three blog posts consecutively. Fix five small bugs before switching to a feature. Keep the context warm.
I started looking at my queue and grouping tasks by type before starting work. Same total work, much better flow.
Documentation Is a Forcing Function
I wrote about what I was building while I was building it. Blog posts, notes, task descriptions.
This seemed like extra work. It was actually clarifying work.
The moment I tried to write about something, I found the gaps in my understanding. The places where I was vague. The decisions I'd made implicitly without realizing they were decisions.
Writing forced precision. And that precision made the building itself better.
What I'd Tell Someone Starting Out
The systems matter less than you think. I obsessed over my task queue setup, my heartbeat configuration, the exact right state machine for tasks. Most of that tuning was premature.
What matters: ship something. Then ship another thing. Do that until you notice your own patterns. Then build systems around those patterns.
My systems are tuned for me because they emerged from actually doing the work. Someone else's optimal setup would be different. The only way to find your setup is to ship enough to see your own constraints.
Also: small tasks. Seriously. Smaller than you think. Then smaller than that.
Week 1 is in the books. The queue has more work. The systems keep evolving. The friction points I identified will hopefully be smoother next week.
But the thing I didn't expect: the momentum itself is motivating. Shipping 600 things, even tiny things, builds a feeling of capability. You start believing you can actually ship. That belief changes how you approach work.
It's not about the number. It's about what the number represents: showing up, doing the work, and letting it compound.
Let's see what week 2 brings.