# technical-program-manager Published articles for technical-program-manager. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## What a Technical Program Manager actually does DevFeed: [What a Technical Program Manager actually does]() Original publisher: [Read original article]() Author: Dean Hume Published: 2026-09-14T15:54:31Z Content type: opinion Language: en Sources: [Dean Hume]() Topics: [Software Engineering]() Tags: [delivery](), [dependency](), [engineering](), [execution](), [meetings](), [ownership](), [project](), [software-engineering](), [teams](), [technical](), [technical-program-manager]() ### AI overview This article explains the role of a Technical Program Manager, focusing on the gaps between engineering teams, explicit ownership, cross-team dependencies, and proactive identification of release-blocking problems. ### Source excerpt What does a Technical Program Manager actually do? A look at the gaps they fill, the decisions they chase, and the reactive vs proactive split. ## Why Readiness Should Be a Habit, Not a Final Gate DevFeed: [Why Readiness Should Be a Habit, Not a Final Gate]() Original publisher: [Read original article]() Author: Dean Hume Published: 2026-08-03T08:41:00Z Content type: opinion Language: en Sources: [Dean Hume]() Topics: [Testing](), [Software](), [systems](), [bug](), [Network](), [API]() Tags: [api](), [bug](), [game-development](), [habits](), [launches](), [network](), [quality](), [teams](), [technical-leadership](), [technical-program-manager](), [testing]() ### AI overview The article argues that software quality is established through everyday team habits rather than a final testing phase. It emphasizes defining expected behavior for interruptions and failures early, instead of labeling unspecified behavior as bugs during release pressure. ### Source excerpt Quality isn't decided in the final review. The teams with the smoothest launches built it through daily habits, long before anyone thought about a release date. ## Why Technical Program Managers Matter as AI Reshapes Engineering Teams DevFeed: [Why Technical Program Managers Matter as AI Reshapes Engineering Teams]() Original publisher: [Read original article]() Author: Dean Hume Published: 2026-06-29T10:27:25Z Content type: opinion Language: en Sources: [Dean Hume]() Topics: [structure](), [Artificial Intelligence](), [Tech Lead](), [Software]() Tags: [ai](), [article](), [engineering-management](), [game-development](), [software](), [teams](), [tech-lead](), [technical-leadership](), [technical-program-manager]() ### AI overview The article argues that as AI reshapes engineering organizations and teams become smaller, Technical Program Managers can coordinate dependencies, cross-functional delivery risks, and roadmap-to-capacity alignment across multiple teams. ### Source excerpt As AI shrinks engineering teams and the EM role splits in two, the Technical Program Manager could be the most overlooked answer hiding in plain sight. ## Meeting Notes - A Free Desktop App for Tracking 1:1s DevFeed: [Meeting Notes - A Free Desktop App for Tracking 1:1s]() Original publisher: [Read original article]() Author: Dean Hume Published: 2026-06-29T10:16:48Z Content type: article Language: en Sources: [Dean Hume]() Topics: [App](), [meetings](), [Local-First](), [asr](), [Whisper](), [Open Source](), [Markdown]() Tags: [app](), [autosave](), [desktop](), [free](), [meetings](), [notes](), [offline](), [on-device](), [open-source](), [recording](), [speech-to-text](), [technical-leadership](), [technical-program-manager](), [whisper](), [writing]() ### AI overview The article introduces Meeting Notes, a free, open-source Windows desktop app for organizing 1:1 notes by person. It supports topic tags, Markdown, autosave, voice recording, and offline speech-to-text using Whisper, with data and audio kept on the device. ### Source excerpt Meeting Notes is a free offline desktop app for 1:1s. Organise notes by person, tag topics, and transcribe meetings on-device with Whisper. ## Technical Skills Every Technical Program Manager Should Learn in 2026 DevFeed: [Technical Skills Every Technical Program Manager Should Learn in 2026]() Original publisher: [Read original article]() Author: Dean Hume Published: 2026-05-05T14:12:37Z Content type: tutorial Language: en Sources: [Dean Hume]() Topics: [Development](), [Architecture & Design](), [Cloud](), [CI/CD](), [Containers](), [systems](), [Testing](), [Serverless](), [dashboards](), [Artificial Intelligence]() Tags: [architecture](), [ci-cd](), [cloud](), [code](), [containers](), [dashboards](), [engineering](), [learn](), [manager](), [technical](), [technical-program-manager]() ### AI overview A practical guide to technical skills for Technical Program Managers in 2026. It covers understanding system architecture, APIs, queues, microservices, cloud concepts, development workflows, testing, logs, and dashboards so TPMs can plan and collaborate more effectively with engineering teams. ### Source excerpt The technical skills every TPM needs in 2026 from cloud basics to AI agents and governance. A practical guide to staying close to the tech. ## PowerToys Advanced Paste supports plain text, Markdown, JSON, and file pasting DevFeed: [PowerToys Advanced Paste supports plain text, Markdown, JSON, and file pasting]() Original publisher: [Read original article]() Author: Dean Hume Published: 2026-04-28T16:15:22Z Content type: tutorial Language: en Sources: [Dean Hume]() Topics: [Microsoft PowerToys](), [JSON](), [Markdown](), [Artificial Intelligence]() Tags: [json](), [markdown](), [powertoys](), [technical-program-manager](), [text]() ### AI overview This article explains how PowerToys Advanced Paste can transform clipboard content into plain text, Markdown, JSON, or a file. It presents the tool as a way to reduce formatting cleanup and convert content between formats. ### Source excerpt PowerToys Advanced Paste transforms your clipboard - paste as plain text, Markdown, JSON, extract text from images, and reformat content with AI. ## How I Use PowerToys Workspaces to Switch Contexts in Two Clicks 🫰 DevFeed: [How I Use PowerToys Workspaces to Switch Contexts in Two Clicks 🫰]() Original publisher: [Read original article]() Author: Dean Hume Published: 2026-03-12T14:32:13Z Content type: tutorial Language: en Sources: [Dean Hume]() Topics: [Microsoft PowerToys](), [Windows](), [Utility Software](), [Command-line interface](), [vs-code](), [Edge](), [Terminal]() Tags: [cli](), [command-line](), [desktop](), [edge](), [powertoys](), [technical-program-manager](), [terminal](), [vs-code](), [windows](), [writing]() ### AI overview A practical guide to using Microsoft PowerToys Workspaces to save Windows app layouts and launch configured desktop setups quickly. It explains workspace creation, desktop shortcuts, and command-line arguments for apps such as VS Code and Edge. ### Source excerpt Tired of arranging windows every morning? PowerToys Workspaces launches your ideal Windows desktop management setup with two clicks 🫰. ## White Paper on Data Science Technical Program Management DevFeed: [White Paper on Data Science Technical Program Management]() Original publisher: [Read original article]() Author: Sonu Jain Published: 2026-02-27T12:41:46Z Content type: article Language: en Sources: [Walmart Global Tech]() Topics: [Data Science](), [Model Development](), [Development](), [Software Engineering]() Tags: [collaboration](), [coverage](), [data-science](), [experimental](), [leadership](), [machine-learning](), [management](), [paper](), [retail](), [software-engineering](), [technical](), [technical-program-manager](), [training](), [validation](), [white-paper]() ### AI overview This white paper presents a structured approach to managing Data Science programs through technical program management. It discusses business alignment, cross-functional collaboration, data validation, model training and retraining, governance, and phased execution, using an inventory forecasting initiative as a real-world example. ### Source excerpt 1. Abstract Managing Data Science programs requires a structured approach to handle the complexities of data, model development, and business alignment. This whitepaper provides a comprehensive guide on the effective program management of Data Science programs by technical program managers. It highlights the critical role of Technical Program Managers (TPMs) in driving successful execution and outlines the key phases, challenges, and recommended best practices at every stage for effectively managing Data Science programs This white paper is grounded in a real-world inventory forecasting initiative aimed at improving stock availability and reducing overstock across multiple retail categories. The program involved cross-functional collaboration between Data Science, Engineering, Product, and Business teams to build predictive models that could dynamically adjust inventory levels based on demand signals. 2. Introduction Data Science has become a critical pillar of decision-making across industries, but organizations continue to struggle with operationalizing these initiatives. Unlike software development, which follows predictable sprint cycles, Data Science programs are inherently experimental -- requiring repeated cycles of data validation, model training, and retraining before they reach acceptable performance levels. This uncertainty often leads to misaligned expectations, delays in delivery, and inconsistent business impact. The iterative nature of model development makes predictability especially challenging: teams may require multiple iterations to achieve coverage and accuracy thresholds that satisfy business needs. Without structured program management, these efforts risk becoming siloed experiments rather than scalable, value-generating solutions. This whitepaper aims to address this gap by providing a practical framework for Technical Program Managers (TPMs) to manage Data Science programs effectively. It draws on real-world experience from a large-scale inve