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As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes:
1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship
2. Builder: quickly turns a prototype/idea into production-grade product/infra
3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance
4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit
5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales
Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS.
A healthy team needs a mix of these, depending on the product:
- A product that is new and pre-PMF needs people that are strong at 1+2+3
- A product that is growing and has found PMF needs 2+3+4 and some 5
- A product that has strong PMF needs 3+4+5 and some 2
Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?
an important question to ask though is, will the opensource models have reached the capabilities they have today, if the closed ones would not have reached there first and defined what's even possible?
The strongest models are gated and access is granted only to a select few.
Hermes Agent now exposes MoA presets as virtual models, giving you capabilities beyond the publicly available frontier: 8% higher than Opus 4.8 and 11% higher than GPT 5.5 on our upcoming benchmark.
@DeRonin_ just noticed in Month 2, you're skipping serial number 2 while going from 1. Prompting Fundamentals directly to 3. Structured Outputs. Is that a typo or you missed something?
btw amazing resource, keep it up sir!
has the frontier of language models moved so far, that prompt engineering doesn't truly have a lot of value as the models are smart enough to generally grasp the user's intentions from their vague'ish prompts too and spit convincing enough outputs in most cases?
there's a cool approach to uncovering bugs in complex smart contract systems:
pick a complex system, rebuild it from scratch with first principles, and for every critical feature, do a diff on your approach with that of the original system, and double down bug hunting on ones with the maximum difference
this approach as you'd imagine is very time-consuming but very effective. With efficient loop engineering, this time should be compressed by orders of magnitude and we should start to discover bugs in days, which would've otherwise taken months.
i'd anticipate a similar time compression on many other similar bug-hunting techniques, if loop engineering is even half as good as claimed to be
inb4 the next wave of smart contract exploits in crypto
with every passing day, the advancements in frontier models are forcing me as an engineer to improve in the directions of
- take a step back thinking
- abstracted intelligence thinking
- meta thinking
- first principles thinking
i.e. extreme focus at the root, resources, plan, direction, guidelines, vision, outputs, and selective focus on actual execution
which also happens to be how eng managers think. So is the next logical step to becoming a world-class agentic engineer, becoming the sharpest eng manager?
at this pace, it is highly likely we'll see the bubble on ai token spends burst very soon, as the amount of slop will be insurmountably high for existing engineers to fix / see through, while new grads keep pivoting to other industries to hedge their careers
We're hiring an AI Engineer at Ambitio. 🚀
Not prompt-tweaking or chatbot wrappers — you'll architect the data pipelines and agentic workflows behind AI that shapes where thousands of students study abroad.
We want a builder who turns ambiguous problems into shipped systems.
If you love solving hard problems and owning what you build end to end, we would love to hear from you!
Apply here: https://t.co/11s0M7lEtJ