Developer Tea

Software Engineering Principles That Still Hold Up in an Agentic World - Old Lessons Made NewThe skills problem isn't going anywhere — it's just wearing new clothes. In this episode, I unpack how the lessons we learned decades ago (limiting work in progress, the theory of constraints, test-driven development) are coming roaring back as the fundamentals that will carry you through the agentic shift. The bottleneck has moved, and knowing where it went changes how you should work. A lot of what we're learning about building with agentic tooling isn't new at all — it's a re-emphasis on lessons software engineers learned twenty years ago, just arriving in a new form. In today's episode, I walk through why the fundamentals are becoming more important than ever, why so many of us feel scattered despite having the most powerful tooling we've ever had, and where the real bottleneck in software delivery has quietly moved. My goal isn't to convince you that your job is now babysitting AI — it's to show you which parts of the work are still squarely yours, and how older principles can make you faster and more confident right now. Limiting Work in Progress Is Back: • Just because you can spin up fifty agents doesn't mean you should split your focus across fifty things. Orchestrated fan-outs are powerful, but a human juggling agents across hiring, on-call, and a project all at once still pays the same old context-switching tax — and the quality drops while the speed never improves. Work Deeper, Not Wider: • Instead of spreading yourself shallowly across more tickets, run multiple sessions on the same • domain. Write a competing or adversarial version that critiques your assumptions, develop better documentation, or capture what you're learning as a reusable skill. Depth beats breadth. The Scattered-Engineer Epidemic: • Engineers are burning out faster, not slower. We have the capacity to push more through the pipeline, so we're getting handed (or choosing) more than we can carry. Reducing parallelism often holds your delivery speed steady while dropping your cycle time and raising quality. The Theory of Constraints, Revisited: • Treat your software development lifecycle as a pipeline with a bottleneck — and if you can't find one, you've optimized one part too far. Writing code used to be the choke point, so we spent enormous energy de-risking work before it ever reached an engineer. The Bottleneck Has Moved: • When production gets cheap, it's no longer worth heavily de-risking upstream — which is why engineers are picking up more experimental, proof-of-concept, discovery work, and product folks are prototyping with these tools too. The new constraint isn't writing the code; it's verifying the agent didn't ship something broken. Verification Scales With Your Effort: • The more an agent produces, the bigger the pile of PRs, MRs, and outputs waiting on human review. That backlog is the new bottleneck — and skepticism is creeping in because we're not even sure our tests are sufficient to verify what the agent built. Why TDD Fits This Moment: • The honest question isn't "Can I trust the agent?" — it's "What verification loop do I need to build so I can trust it more?" Clear requirements feed a clear testing loop: write the failing test, let the agent write the code to turn it green, and you bridge the gap between requirements gathered and requirements met. It's not as simple as "go write a test," but it's a strong fit for where we are right now. Episode Homework: • Go dig into the fundamentals — limiting WIP, the theory of constraints, test-driven development. Find the old lesson that still applies to your workflow today, bring it to your team's flow, and email me about what you discover. 🙏 Today's Episode is Brought To you by: Unblocked Your coding agents probably have access to your codebase — and maybe your tools and MCPs too — but access doesn't mean context. Agents don't know your architectural decisions, your team's patterns, or why your API is shaped the way it is, so Claude ends up building a new model when it should have changed an existing one, and you're left clawing back bad outputs and burning tokens on correction loops. Unblocked is the smart context layer your agents are missing. Instead of dumping everything into a giant context window, it builds reasoning over shared context — turning code, docs, tickets, and conversations into actionable context so engineers move faster, agents make better plans, write higher quality code, use fewer tokens, and need fewer corrections. If you're running Claude Code, Cursor, or any agentic workflow, go check it out. Free three-week trial at getunblocked.com/developertea. 📮 Ask a Question If you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com. 📮 Join the Discord If you want to be a part of a supportive community of engineers (non-engineers welcome!) working to improve their lives and careers, join us on the Developer Tea Discord community today! 🗞️ Subscribe to The Tea Break We are developing a brand new newsletter called The Tea Break! You can be the first in line to receive it by entering your email directly over at developertea.com. 🧡 Leave a Review If you're enjoying the show and want to support the content head over to iTunes and leave a review!

1307|31min

Principles Oriented Thinking as a Durable Skill in an AI First WorldThe skills that survive every industry shakeup aren't the ones you can Google — they're softer, harder to name, and far more durable. In this episode, Jonathan explores principle-oriented thinking: the practice of stripping away the labels we attach to tools, roles, and even ourselves to see what something actually does at its core. It's the difference between handing your coding off to an agent and rethinking your entire workflow around what these new materials are truly capable of. If you've been following along with our recent focus on durable skills, you know we've been hunting for the abilities that translate beyond this month, this year, or whatever AI does to our industry next. Today's skill doesn't have a tidy name you can search for — it's softer than that. Jonathan calls it "principle-oriented thinking": the habit of deconstructing the labels we put on things to understand their core components, properties, and capabilities. It's how NASA engineers turned a sock into a water filter on Apollo 13, and it's how forward-thinking engineers are reframing what AI can actually do rather than jamming it into a predetermined slot. Labels Are Useful Shortcuts — Until They Aren't: • Every label, from "software engineer" to "sock," carries baggage, heuristics, and presupposition. That's not a flaw — labels are how we move through the world quickly. But when a label is the only lens you have, it quietly caps how much value you can get out of the thing you're looking at. The Apollo 13 Sock: • When the crew needed to fix a life-threatening problem with mismatched parts, the engineers on the ground had to forget what a sock was for • and ask what it actually is • — a piece of cloth with tensile strength, flexibility, and filtering properties. Strip the assumption that it goes on a foot, and a whole new set of uses opens up. Stop Slotting AI Into Old Roles: • The common move is to take one responsibility — coding, debugging, refactoring — hand it to an agent, and keep everything else the same. That works, but it's low-leverage. The more powerful approach starts by asking what the agent is fundamentally capable of, then rebuilding the workflow around those raw materials. See Things as Materials, Not Fixed Functions: • When you deconstruct out from under a label, tools and concepts start to look like craftable raw materials. You can then combine them in new, valuable ways they haven't been combined before — alloying old methods with new capabilities to create properties neither had on its own. Reason From Properties, Not Personas: • Ask what the actual properties of an LLM are. Non-determinism isn't a bug to apologize for — it's a property you can exploit. The existence of many different models is a property too, which is exactly what makes adversarial review possible. That's principle-oriented thinking applied to agents. Extend the Latticework: • Charlie Munger talked about a latticework of mental models that weave together rather than sit in isolation. The durable skill isn't quarantining your concept of "AI" off to the side — it's grafting a new section onto the existing tapestry and letting it reshape everything you already understood. Episode Takeaway: • Look at how you spend your time and ask new questions of it. What is the material here? What kind of thinking does the agent actually do? What can a human do that an LLM can't — and the other way around? That's how you avoid believing a sock is only ever good for a foot. 🙏 Today's Episode is Brought To you by: Unblocked Your coding agents have access to your code, your repos, and probably a pile of connected MCPs filling up their context — but access isn't the same as good context, and a bloated context window can actually degrade the very reasoning you're relying on. Agents don't know your architectural decisions, your team's patterns, or why an API was shaped the way it was, so they look in the wrong place and deliver bad outputs you then spend time and tokens correcting. ● Unblocked is the smart context layer your agents are missing. ● Instead of ingesting everything and getting lost, it builds reasoning over shared context. ● It turns code, docs, tickets, and conversations into actionable context — so engineers move faster, agents make better plans and write higher-quality code, and you burn fewer tokens and fewer correction loops. If you're running Claude Code, Cursor, or any agentic workflow, it's worth a look. A free three-week trial is available at getunblocked.com/developertea. 📮 Ask a Question If you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com. 📮 Join the Discord If you want to be a part of a supportive community of engineers (non-engineers welcome!) working to improve their lives and careers, join us on the Developer Tea Discord community today! 🗞️ Subscribe to The Tea Break We are developing a brand new newsletter called The Tea Break! You can be the first in line to receive it by entering your email directly over at developertea.com. 🧡 Leave a Review If you're enjoying the show and want to support the content head over to iTunes and leave a review!

1306|27min

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