AI promised less work. I've never worked more
The author argues AI tools were promised to return time to engineers, but their own work has increased. Using GitHub contribution data from 2019 to 2026, they report that 2026 activity is near their busiest years, with more weekdays of activity and heavier days. They attribute this to agents making additional work cheap to start, causing bursts of activity followed by fatigue. Most activity is private work, and the data reflects contribution counts rather than value.
Open original source oioannou.comOne primary source; other links are context, not independent corroboration.
- Primary sourceHacker News · AI
- Discovery linkHacker News
- Linked in sourcehow that setup evolved
- Linked in sourcewhy I still read the code
- Linked in sourceBold.org
- Linked in sourceour internal company agent
A community post points to the original link. Discussion and upvotes do not establish accuracy.
- Community discussion+5
- Fetched source page+30
- No editor link review0
- Community link0
This measures the stored source trail and editorial steps. It does not certify accuracy, peer review, or independent corroboration. Popularity adds no points.
View full scoring →Read the scoring rubric →What the source says
The author argues AI tools were promised to return time to engineers, but their own work has increased. Using GitHub contribution data from 2019 to 2026, they report that 2026 activity is near their busiest years, with more weekdays of activity and heavier days. They attribute this to agents making additional work cheap to start, causing bursts of activity followed by fatigue. Most activity is private work, and the data reflects contribution counts rather than value.
A READER'S EVIDENCE CHECKHow to read this signalSix questions about claims, sources, risks, and open checks
This is a signal-level guide until claim-level evidence is available. “Not recorded” means the evidence has not been assessed here; it does not mean a result is false. How we check AI news →
- 01Who is making each claim?
The claimant and whether each claim was measured or asserted are not recorded in this public brief.
- 02What was actually tested?
Not recorded per claim. Check the source for sample size, tasks, model and benchmark versions, and reproducibility.
- 03Where are the sources?
Original link: oioannou.com. Brief basis: fetched source page. Primary page date and quote locations are not established in this panel.
- 04What could mislead?
Source claims not independently checked; GitHub contribution counts are a rough activity signal, not a measure of output or value, and the data covers one individual.
- 05What is at risk if wrong?
Not assessed per claim. Consider safety, privacy, cost, and adoption decisions before relying on the result.
- 06What would change the view?
No claim-specific check is recorded. An inspectable primary method or independent replication could change the assessment.
Key findings from the stored brief
- Author's 2026 contributions reached 2,102 by October 27, above any full year from 2021 to 2025.
- Weekdays with zero GitHub contributions dropped to 18 in 2026 from 40 to 46 per full year in 2022 to 2025.
- Author says cheap implementation lets them take on more work, with agent-driven work arriving in bursts followed by tiredness.
- Most of the increase is private work; public contributions are under a tenth of 2026 activity.
Source claims not independently checked; GitHub contribution counts are a rough activity signal, not a measure of output or value, and the data covers one individual.
This is a source-based abstract, not independent validation of the source's claims.
Evidence & sources
These links show where the signal came from and what the source page linked to. A linked page is context, not independent corroboration.
Related archive coverage
These relationships record a citation or topic overlap, not confirmation of the finding.
A community post points to the original link. Discussion and upvotes do not establish accuracy.
Timeline & updates
- Signal dated by source or discovery feed
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- Shared brief stored
AINewsIQ prepared one abstract from fetched source page.
A publication revision history is not stored for this signal. New engagement snapshots do not mean the source itself changed.
Why this may matter
The account offers a personal, data-backed look at whether AI tooling reduces workload. It suggests lower implementation cost can expand the scope of work taken on rather than shorten it, which is relevant to how teams plan and manage engineers using agents.
Limits and open questions
Source claims not independently checked; GitHub contribution counts are a rough activity signal, not a measure of output or value, and the data covers one individual.
Organization-specific financial, security, and operational effects require the organization's own context and review.
Discussion
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