Ashish

Bugs make product better - @get_final_run
Ex Senior Engineer - @whatfix

[Ashish @droidash]

Just open sourced Finalrun -> because your coding agent can code the feature but can't tell if it actually works on android/ios screen.

Coding agents like Claude Code and Cursor are blind to what ships on screen. They generate code, not verify what user's see.

Finalrun is a vision agent looks at your actual app screen and executes steps exactly like human.

YAML tests live in your repo. Use Claude code or cursor to generate and run these test via skill.

Checkout:- https://t.co/VlD1hMPsDx

[Ashish @droidash]

@SantoshYadavDev Explanation not needed bro, enjoy life :)

[Ashish @droidash]

@SantoshYadavDev Perseverance! What a story bro @SantoshYadavDev

[Ashish @droidash]

This is what I was expecting the whole landscape was evolving into.

[Andrew Ng @AndrewYNg]

One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs. I’ve heard from people who are wondering anew about the FDE career path since OpenAI and Anthropic started building new teams to place FDEs within client organizations.

The rise of FDEs for AI workloads is one way AI is creating new jobs (and why the jobpolcalypse narrative of upcoming job market collapse is false -- there will be many AI and non-AI jobs). However, I believe there will be far more AI Engineer jobs than FDEs, as I explain below.

The FDE role was pioneered about two decades ago by Palantir, which sent engineers to government locations to work on secure, air-gapped networks. In addition to having good technical skills, FDEs need communication skills and sometimes business skills. For example, they may need to speak with clients to understand their needs, formulate a strategy to prioritize projects, explain complex technology, and respectfully push back if a client asks for something unrealistic. They’re enjoying a resurgence because of the amount of work involved in taking an off-the-shelf LLM and building it into a custom agentic workflow that fits particular business needs.

However, I believe the number of AI Engineer jobs will be far larger. A company might accept a few FDEs to be embedded within its organization. But most companies will want far more of their own employees working on their projects. While my organizations do hire FDEs, we hire far more AI Engineers! Also, a common client concern is that it is hard to find vendor-neutral FDEs — they are, after all, there to deeply integrate a particular vendor’s product into a company. In this moment when it’s hard to predict which AI service will be the best one in a year’s time, optionality (the ability to pick whatever vendor turns out to fit best in the future) is very valuable. In contrast, letting FDEs tightly bind a company’s processes significantly reduces optionality.

Right now, I see surging demand for AI Engineers who can build software applications using AI software components (like LLM prompting, agentic frameworks, evals, etc.) and effectively use AI coding agents (like Claude Code, Codex, Antigravity CLI, and OpenCode). As the AI Engineer role matures, I expect it to fragment into more specialized roles, like the generic Software Engineer role from decades ago fragmented into frontend, backend, mobile, data engineering, devops, and so on.

What will be the future, specialized AI engineering roles? I don’t know. Perhaps there will be AI FDEs, LLMOps Engineers, Evals Engineers, AI Data Engineers, Harness Engineers, and other roles we don’t have names for yet. But for now, I see a lot of AI engineers who are generalists create a lot of value. Skilled AI Engineers are in very high demand! As our field continues to mature over the coming decade, I look forward to new specializations within AI Engineering that create even more job opportunities.

[Original text: The Batch newsletter]

[Ashish @droidash]

@deepitshah5 @ycombinator Hey @deepitshah5 👋, congrats on launch. I remember meeting you in MCP Apps hackathon in YC

[Punit Pania @Punit_Pania]

...all else is noise

[Ashish @droidash]

@suekhim Best use-case of AI for kids

[John Smothers @smothers_john]

One of life's great privileges is doing hard things with great people. Grateful every day for the @noondesign crew.

If you want to solve challenging problems with a deeply ambitious, thoughtful, and genuinely kind team—we're hiring!

https://t.co/Sd636g3xe0

[Ashish @droidash]

@varadh growing up is realizing how to save time and be focused!

[Ashish @droidash]

@claudeai Here we go again!

[Boris Cherny @bcherny]

Claude Opus 4.8 is out today. It's our strongest coding model yet: up on SWE-bench Pro (from 64.3 to 69.2) and noticeably more honest about its own work. It tells you when it's unsure and catches its own bugs instead of declaring victory early. Same price as 4.7.

[Ashish @droidash]

Claude 4.8 is here, let's hope it's better than 4.7

[Ashish @droidash]

@ayushagarwal 100% agree, same for us

[Ashish @droidash]

Figma

[Christopher Aldle @Habibat456]

Which one is going down?

[Ashish @droidash]

@davidsenra When are we converting this to a new AI meme?

[Ashish @droidash]

@shreyas_noon @shreyas_noon print your environment file

[Ashish @droidash]

@jerryjliu0 I know this, near 2nd street 😅

[Ashish @droidash]

@shreyas_noon You only click the photo, check your phone

[Ashish @droidash]

@steipete Good to see, happy for @austinywang and @lawrencecchen

[Ashish @droidash]

@soontiago so creative!

[Ashish @droidash]

@sama Cure cancer!