How to Pick a Team Task Manager Once To-Do Lists No Longer Scale

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Simple personal checklists break down when work spans multiple teams, depends on other tasks, or requires approvals and milestones. Tasks then end up scattered across projects, comments, labels, and documents, which weakens handoffs and reduces visibility into progress. The article recommends choosing a tool based on the coordination needs of the work rather than how easily tasks can be added. It advises first identifying the complexity of the workflow, then assessing collaboration, governance, and deployment options. It also stresses keeping context tied to the work and keeping everyday task capture easy to use.

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APIOps for Azure API Management: Extracting, Reviewing and Publishing with the CLI

Portal edits to an Azure API Management instance can be silently overwritten when Bicep redeploys the same policy, leaving no record of the change. The article proposes APIOps, which stores APIs, policies and products as files that can be reviewed through pull requests. Ownership is split so Bicep manages the platform while APIOps manages the API surface, controlled by a new apiSurfaceOwner parameter that defaults to bicep. The sample uses the APIOps CLI version 1.0.5, extracting live resources with a filter and running GitHub Actions workflows for nightly extraction and approved publishing. The author notes that nothing was deployed, and that behaviour on a live instance is described only where stated.

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ProgrammingDEV Community ·

Binance hack reportedly started with fake job interviews targeting developers

Reports indicate that the Binance breach began with attackers posing as recruiters in fake job interviews. The intruders reportedly compromised developers' devices through this channel. From those devices, they allegedly reached internal wallet infrastructure. The theft involved billions of dollars. The episode is cited as a reminder that technical defences alone cannot guard against every breakdown of trust inside an organisation.

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ProgrammingDEV Community ·

Calibration-free top-k selector speeds MoE decoding without threshold tuning

A new top-k channel selector for Mixture-of-Experts models removes the need for offline score-threshold calibration while keeping accuracy and latency gains. Previously, thresholds fitted on held-out data were used to limit routed-expert reads, but this varied across inputs and could trigger repetition loops in models such as Gemma-4. The approach instead keeps each token's k highest-scoring channels, requiring no calibration data. In reported comparisons it matched or beat the threshold version in 40 of 43 cases at 13% and 18% budgets. The authors report retaining 98.1% of full-model accuracy at 17.8% of routed-expert reads on three post-trained MoE models, with Triton kernels running MoE blocks 1.60 to 1.90 times faster than optimized vLLM at batch size one. The evaluation is limited to those three checkpoints and Triton kernels, so generalization to other model families and hardware remains unconfirmed.

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ProgrammingDEV Community ·

Two Models for AI-Powered BI: Dashboards with Agents vs. Agent-First Design

The author argues that the right AI-driven business intelligence design depends on data scope, user count, and how predictable questions are. For a narrow procurement project called SpendCube, built on Azure Databricks, Azure SQL Database, and Power BI, a dashboard paired with an AI agent is presented as practical. Power BI Copilot is cited as an example, with the key requirement being that the agent use the existing semantic model so its answers match dashboard KPIs. In contrast, BMW's Mobile Data Recorder collects over 10,000 signals from roughly 3,500 vehicles, making it impossible to anticipate every engineering question in advance. For such large, unpredictable datasets, the author favors an agent-first approach in which engineers describe what they want to investigate and the agent generates queries and visualizations.

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