AI Project Management Tools in 2026 Now Track Both Developers and AI Agents

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The role of project management tools is evolving as AI agents like Claude Code and Codex increasingly handle development tasks alongside human engineers. Traditional tools built around tracking deadlines and assignments are no longer sufficient when AI agents are also executing work within the same workflow. Modern AI project management platforms are now expected to offer capabilities such as turning rough requirements into tasks, integrating with developer environments, and allowing AI agents to receive, execute, and report on work. Tools like Sharkly are designed specifically as shared work systems where humans and AI agents collaborate within a unified coordination layer. Key features in this new generation of tools include parallel agent task execution, shared project context, human review workflows, and integration with existing development infrastructure.

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Developer Builds Single-Button ESP32 Bluetooth Remote for iPad Screenshots

A developer created a compact Bluetooth remote using an ESP32-C3 microcontroller to trigger iPad screenshots without physically handling the device. The remote pairs with the iPad as a keyboard named 'Screenshot Remote' and sends the Command+Shift+3 key combination when a touch button is pressed. The project was motivated by the inconvenience of reaching for an iPad mounted on a stand, which disrupted recording angles and screen framing. Hardware components include an ESP32-C3 dev board, a touch-button module, and an 18650 battery cell housed in a small project box. The firmware, built with MicroPython and the MicroPythonBLEHID library, stores the Bluetooth bond in non-volatile memory so the device stays paired across reboots.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

Why Product Leaders Must Move from Feature Delivery to Business Outcomes

Many product leaders reach a career inflection point where their organisation silently shifts its expectations from execution quality to business impact, often without any explicit warning. Feature ownership centres on delivering scoped work on time and to specification, offering clear, measurable markers of success. Business ownership, by contrast, demands accountability for revenue, costs, customer behaviour, and long-term market health, with no definitive finish line. A feature can ship on time, under budget, and still harm the business if it solved the wrong problem or diverted critical engineering resources. Making this transition requires product leaders to replace output-focused self-assessment with outcome-focused thinking across every conversation and decision.

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ProgrammingDEV Community ·

Google Play Closed Testing Can Cost $0 to $35 Depending on Your Approach

Developers seeking Google Play production access must have 12 testers actively opted in for 14 consecutive days, a requirement that carries varying costs depending on the method chosen. Doing outreach manually is free but time-intensive, often requiring recruitment of 20 or more people to maintain 12 active testers, since dropouts can pause or reset the 14-day clock. Mutual exchange platforms offer a zero-cost alternative, though developers must spend roughly three to four hours testing other apps over the two-week period. Paid testing services range from about $15 to $35, with higher-priced plans offering replacement guarantees and session tracking for greater reliability. The only unavoidable baseline cost is Google's one-time, non-refundable $25 developer account registration fee.

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