# Strategize Your Career Actionable strategies to earn more, save time, and learn faster. Join thousands of software engineers leveling up every Sunday This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Use AI to Accelerate Delivery Without Lowering Software Quality DevFeed: [Use AI to Accelerate Delivery Without Lowering Software Quality]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-09-13T04:01:35Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [Software](), [Artificial Intelligence](), [coding](), [context]() Tags: [accelerate](), [ai](), [context](), [quality](), [software]() ### AI overview An opinion piece arguing that AI should speed delivery without reducing software-quality standards, using engineering judgment as scalable context, constraints, and checks. ### Source excerpt AI should accelerate delivery, not lower your standards. Turn engineering judgment into context, constraints, and checks that scale ## How AI Coding Fits a Scarcity Loop of Opportunity, Unpredictable Rewards, and Quick Repetition DevFeed: [How AI Coding Fits a Scarcity Loop of Opportunity, Unpredictable Rewards, and Quick Repetition]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-09-06T04:00:42Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [coding](), [Artificial Intelligence](), [ai-coding]() Tags: [ai](), [ai-coding](), [code](), [coding](), [productivity]() ### AI overview This commentary applies the three-part scarcity loop from Scarcity Brain--opportunity, unpredictable reward, and quick repetition--to coding. It argues that AI lowers the friction of writing code, makes prompt outcomes uncertain, and enables faster or parallel feedback loops, which can encourage repeated prompting without necessarily representing progress. ### Source excerpt The 3 rules from Scarcity Brain that turn AI coding into a loop you want to repeat, without confusing more output with progress. ## Increasing AI-Assisted Coding Throughput Without Losing Technical Judgment DevFeed: [Increasing AI-Assisted Coding Throughput Without Losing Technical Judgment]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-08-23T04:01:03Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [AI-assisted coding](), [coding](), [AI Agent](), [Software]() Tags: [agent](), [ai](), [ai-assisted-coding](), [architecture](), [coding](), [process](), [software](), [visibility]() ### AI overview This article examines how AI-assisted software engineering can increase coding throughput while reducing an engineer's visibility into planning, implementation, testing, deployment, and review. It argues that engineers must maintain technical judgment by defining goals and architectural constraints while also understanding and optimizing the processes used by AI agents. ### Source excerpt A zoom-in, zoom-out system for increasing AI-assisted coding throughput without losing the technical judgment needed to improve it ## How AI Agents Can Create Cognitive Debt in Codebases DevFeed: [How AI Agents Can Create Cognitive Debt in Codebases]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-08-10T05:02:47Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [Artificial Intelligence](), [Code]() Tags: [agents](), [ai](), [ai-agents](), [code]() ### AI overview The article argues that AI agents can improve code while weakening the shared understanding teams need to debug, evolve, and defend codebases. ### Source excerpt AI agents can improve code while eroding the shared understanding teams need to debug, evolve, and defend it. ## A Practical System for Batching AI-Assisted Work and Running Multiple Agents DevFeed: [A Practical System for Batching AI-Assisted Work and Running Multiple Agents]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-08-02T04:00:48Z Content type: tutorial Language: en Sources: [Strategize Your Career]() Topics: [Artificial Intelligence](), [.NET Conf]() Tags: [agents](), [ai](), [multitasking]() ### AI overview The article presents a practical system for batching AI-assisted work, designing clean handoffs, and running multiple agents without multitasking yourself. ### Source excerpt A practical system for batching AI-assisted work, designing clean handoffs, and running multiple agents without multitasking yourself ## A Multi-Agent AI System for Reviewing Code Before Pull Requests DevFeed: [A Multi-Agent AI System for Reviewing Code Before Pull Requests]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-07-26T07:01:38Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [ai code review](), [Code review](), [Artificial Intelligence](), [Pull Request]() Tags: [ai-code-review](), [code-review](), [multi-agent](), [pull-request]() ### AI overview The author describes a multi-agent AI code review system that finds, verifies, and ranks issues before a pull request is opened. ### Source excerpt My multi-agent AI code review system finds, verifies, and ranks issues before I open the pull request. ## AI setup for software engineers: My 5-part system DevFeed: [AI setup for software engineers: My 5-part system]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-07-12T04:00:44Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [Artificial Intelligence](), [AI-assisted coding](), [Software](), [context]() Tags: [ai](), [coding](), [coding-agents](), [context](), [software]() ### AI overview A software engineer describes a five-part system for orchestrating coding agents, covering project context, reusable skills, isolated workspaces, and evidence loops. ### Source excerpt Project context, reusable skills, isolated workspaces, and evidence loops: the system I use to orchestrate coding agents. ## What Makes a Software Engineer AI-Native? DevFeed: [What Makes a Software Engineer AI-Native?]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-07-05T04:00:37Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [Artificial Intelligence](), [context](), [Software](), [cursor]() Tags: [agents](), [ai](), [context](), [cursor](), [software](), [software-engineer]() ### AI overview The article argues that becoming AI-native is not simply a matter of buying Cursor. It emphasizes defining context, tools, loops, and evidence to make agents reliable. ### Source excerpt Buying Cursor does not make you AI-native. The real skill is defining the context, tools, loops, and evidence that make agents reliable. ## Use AI for investigation, review, and QA reports while keeping architecture and ownership with humans DevFeed: [Use AI for investigation, review, and QA reports while keeping architecture and ownership with humans]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-06-28T04:00:39Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [Artificial Intelligence]() Tags: [ai](), [qa](), [reports](), [review]() ### AI overview The article argues that AI should support investigation, review, and QA reporting, while humans retain responsibility for architecture, product risk, and ownership. ### Source excerpt Use AI for investigation, review, and QA reports, while keeping architecture, product risk, and ownership with the human. ## A Safe, Copyable AI Workflow for Engineering Teams DevFeed: [A Safe, Copyable AI Workflow for Engineering Teams]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-06-21T05:00:33Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [Artificial Intelligence](), [Frontier AI]() Tags: [ai](), [copy](), [workflow]() ### AI overview The article argues that most engineering teams need a safe AI workflow that other engineers can copy, rather than frontier AI. ### Source excerpt Most teams do not need frontier AI. They need one safe workflow other engineers can copy. ## Resetting a Software Engineering Career Without Starting Over DevFeed: [Resetting a Software Engineering Career Without Starting Over]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-06-08T04:01:51Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [Software Engineering](), [engineering-culture]() Tags: [career](), [software-engineering]() ### AI overview The article proposes a way to reset a software engineering career without starting over or pursuing every new title. ### Source excerpt A batter way to reset your software engineering career without starting over or chasing every new title. ## How to Manage an AI Agent's Context Window DevFeed: [How to Manage an AI Agent's Context Window]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-05-24T06:00:55Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [context]() Tags: [agent](), [context](), [load](), [workflows]() ### AI overview The article argues that larger context windows do not solve poor workflows. Reliable agent use depends on deciding what context to load, forget, and persist. ### Source excerpt Bigger context windows won't fix bad workflows. The real skill is deciding what an agent should load, forget, and persist. ## Measuring AI-Assisted Coding Productivity Beyond Token Usage DevFeed: [Measuring AI-Assisted Coding Productivity Beyond Token Usage]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-05-17T06:01:12Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [coding](), [Artificial Intelligence]() Tags: [ai](), [coding]() ### AI overview This commentary argues that faster AI-assisted coding does not necessarily lead to more software being shipped, and recommends measuring productivity by value rather than token consumption. ### Source excerpt AI made coding faster, but not always shipping. Here is how to measure productivity without confusing token burn with value ## AI Increases the Volume of Open-Source Contributions and Reports, While Maintainer Review Remains Costly DevFeed: [AI Increases the Volume of Open-Source Contributions and Reports, While Maintainer Review Remains Costly]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-05-10T05:01:41Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [Maintainers](), [Open Source](), [Artificial Intelligence]() Tags: [ai](), [maintainers](), [open-source]() ### AI overview The article argues that AI has made pull requests, issues, and security reports inexpensive to produce, while maintainer trust, review time, and ownership remain costly. ### Source excerpt AI made PRs, issues, and security reports cheap. Maintainer trust, review time, and ownership stayed expensive.