blog

Insights on developer productivity, quantified self, and building xeve.

developer productivity

Reviewers Like AI Code More. That's the Problem.

MSR 2026's Mining Challenge found reviewers express more positive sentiment toward AI-generated code despite it having higher redundancy and cognitive complexity.

6 min read
developer productivity

Trusting AI Code Is the Wrong Goal

The Stack Overflow survey found 84% adoption and 3% high trust. The trust framing is wrong. What you need isn't more trust — it's better failure-mode data.

6 min read
developer productivity

The Bill from Your AI Sprint Arrives Three Weeks Later

Faros found code churn up 861% in high-AI teams. Code that passes review and ships is being removed weeks later at nearly 10x the prior rate — a second shift that appears in no standard metric.

5 min read
developer productivity

30 Days to Migrate, Zero Days in Any Productivity Study

Google gave developers 30 days to migrate off Gemini CLI before shutting it down Thursday. Three forced AI tool switches in 50 days. The costs never show up in productivity research.

6 min read
developer productivity

The More You Refine AI Code, the Less Secure It Gets

A June 2026 paper found a 37.6% jump in critical vulnerabilities after just five rounds of AI refinement. The loop you're running to improve code is doing the opposite.

6 min read
developer productivity

Two-Thirds of AI Code Never Reaches Production

LinearB's 8.1 million PR dataset reveals AI-assisted code merges at 32.7% versus 84.4% for human code. The throughput story has a denominator problem.

6 min read
developer productivity

AI Coding Output Is More Unequal Than Global Income

Cursor's Spring 2026 data shows a Gini coefficient of 0.77 for AI-generated lines. P99 developers produce 46x more than the median. The average tells you almost nothing.

5 min read
developer productivity

Your AI Agents Have a Dashboard. You Don't.

GitHub's new Copilot app tracks every agent session in detail. It reveals something uncomfortable: your agents are better observed than you are.

6 min read
developer productivity

The Biometric Flow State Research Didn't Replicate

A 2026 study in Empirical Software Engineering found that biometric sensors don't reliably predict developer interruptibility. The paper it tried to reproduce has been cited 68 times.

5 min read
developer productivity

AI Time Savings Have Been Flat for a Year

Six quarters of DX data, 135,000 developers: AI time savings flatlined in mid-2025. Half who hit peak gains lose them the next quarter.

6 min read
developer productivity

The Engineering Work of Running AI Nobody's Counting

Datadog's 2026 report: 69% of teams use 3+ AI models, 8.4M rate limit errors in one month. That overhead is engineering work, and it's not in any productivity metric.

6 min read
developer productivity

AI Generates the Code. Nobody Reviews It.

A May 2026 study found 61% of AI-generated pull requests receive no review at all — while the same teams report rising velocity. Here's where the risk is accumulating.

6 min read
developer productivity

Uber Burned Its 2026 AI Budget in Four Months

Uber exhausted its entire AI coding budget by April. Microsoft canceled Claude Code licenses. Neither company stopped using the tools. Here's the problem that creates.

6 min read
developer productivity

You Don't Trust It. You Commit It Anyway.

SonarSource surveyed 1,100 developers: 96% don't trust AI code, but only 48% verify it before committing. The other half ships on confidence.

5 min read
developer productivity

The Slot Machine in Your Terminal

Karpathy runs agents 16 hours a day. Ronacher barely sleeps. This looks like enthusiasm but has the structure of a slot machine.

5 min read
developer productivity

You Can't Delegate What You Can't Specify

Anthropic's 2026 report found developers use AI in 60% of their work but fully delegate 0-20% of tasks. That gap is a specification problem, not a model problem.

6 min read
developer productivity

Git Pushes Are Up 78%. Most of Them Aren't Human.

Microsoft's May 2026 AI diffusion report cites surging git activity as a productivity win. GitHub is processing 275 million agent commits per week. Those are different things.

5 min read
developer productivity

The Metric AI Productivity Research Keeps Ignoring

Two years of IDE logs from 800 developers found AI users delete code 13x more per month. That deletion is review labor — and it shows up nowhere in standard metrics.

5 min read
developer productivity

AI Doubled Your PR Count. Review Didn't Scale.

Teams using AI are merging 98% more pull requests but not shipping twice as fast. Faros.ai's 2-year study of 22,000 developers shows where the gains disappeared.

6 min read
developer productivity

Tokenmaxxing Is the New Commit Count

Jellyfish tracked 7,548 engineers in Q1 2026 and found developers burning the most tokens produced 2x the output at 10x the cost. Volume is not value.

5 min read
developer productivity

Vibe Coding Fixed the Wrong Bottleneck

Moltbook was breached three days after launch. Lovable exposed projects for 76 days. These aren't anomalies — they're what happens when you ship code you don't understand.

6 min read
developer productivity

Four Agents at Once Will Wipe You Out by 11 AM

Running parallel AI coding agents is genuinely faster — Simon Willison confirmed it. He also said he's mentally exhausted before noon. Here's what that trade-off looks like in the data.

6 min read
developer productivity

Solo Founders Don't Have a Speed Problem

The solo unicorn narrative is landing — Medvi, $401M, two people. But what actually made it work has nothing to do with coding faster.

5 min read
developer productivity

How Much Time Do I Actually Spend Coding?

Most developers overestimate their coding time by 2-3x. Here is how to measure it accurately and what the data typically reveals.

5 min read
building xeve

I Built a Native macOS App With Claude Code and Never Opened Xcode

A complete walkthrough of building a production macOS menu bar app — SwiftUI, Supabase, BLE heart rate, Sparkle auto-updates, code signing, and notarization — entirely through prompts in Claude Code. Every prompt, every issue, every fix.

22 min read
developer productivity

Calendar Sync — Measuring Meetings vs. Maker Time

xeve now syncs your Google Calendar and shows exactly how much of your week is meetings vs. deep work. Meeting hours, average duration, busiest days, and recurring meeting analysis.

4 min read
quantified self

The Timeline — See Your Entire Day as a Gantt Chart

xeve now shows your daily app usage as a horizontal timeline. Every app switch, every session, color-coded by category. See your day at a glance and spot patterns in how you work.

4 min read
developer productivity

Goals — Set Daily Targets and Track What Matters

xeve now supports personal goals. Set minimum coding time, maximum screen time, step targets, and focus thresholds. Track daily progress against your own benchmarks.

3 min read
building xeve

Export All Your Data — CSV or JSON, Any Date Range

Your data belongs to you. xeve now supports full data export in CSV and JSON for every data type — app sessions, coding time, health, music, GitHub, locations — with date range filtering.

3 min read
building xeve

GitHub Member Sync, AI-Enriched Profiles & Smart Project Filtering

xeve now imports your entire GitHub org — members, contributors, and activity. AI infers roles from commit patterns, generates project descriptions from READMEs, and the People page shows everyone in your org, not just xeve users.

6 min read
developer productivity

Track Your Claude Code Sessions with One Command

AI-assisted coding is the new normal, but most developers have no idea how much time they spend in Claude Code. Here is how to track it automatically.

4 min read