AI Technology for Developer Workflows: Close the Coordination Gap
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Originally published at twarx.com - read the full interactive version there. Last Updated: August 5, 2026 Most AI technology deployments are solving the wrong problem entirely. They obsess over model intelligence when the actual failures of AI technology happen somewhere else — in the handoffs, the retries, the state that nobody thought to design. The intelligence per step was never the bottleneck; the coordination between steps was. This matters right now because the tooling finally caught up:…
1Key Takeaways
- Originally published at twarx.com - read the full interactive version there.
- Last Updated: August 5, 2026 Most AI technology deployments are solving the wrong problem entirely.
- They obsess over model intelligence when the actual failures of AI technology happen somewhere else — in the handoffs, the retries, the state that nobody thought to design.
- The intelligence per step was never the bottleneck; the coordination between steps was.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that originally published at twarx.com - read the full interactive version there.
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