/Tech4h ago

Engineering Teams Must Build AI Software Factories as Fable 5 Tops Benchmarks

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Original post
Scott Wu@ScottWu46#746inTech

we are going to need up our own human orchestration as much as we're upping our agent orchestration:

Walden@walden_yan

My take 24 hours after Fable 5:

Your organization will likely not scale with the exponential curve of AI.

I'l just come out to say: This should be a wakeup call for engineering teams.

Set up your cloud software factories. Now.

Models can now fix impossible bugs, UI-test the hardest flows, writing extremely good code, etc. I have't opened Datadog manually as far as I can remember.

AI should be the first-line defense for bugs and feedback. Humans should only look at PRs after an AI has already reviewed it. AI should generate screen recordings of any PR before a human eye even reaches it. The agent should just prompt itself most of the time.

Ex. (pictured) our ui feedback channel manages itself, creates tickets, assigns itself automatically

You might also be worried about cost. Anthropic, OpenAI, and other labs will likely continue to put out bigger and more expensive models. But, we will also continue to get more capable small models. Not everything will need the smartest models. It's about having the organizational harness in place to continue taking advantage of this rising tide.

Moreover, if you use Devin, we've already optimized our harness a bit, and Fable is actually only ~40% more expensive in practice (vs the 2x people assume). I'm honestly pleasantly surprised - it might be higher ROI than you think.

Anyway, if you take anything away, engineers shouldn't be manually picking up tickets, humans shouldn't be digging into logs themselves, rethink what you do with your time that shouldn't just be an AI. We need to rethink what humans spend their time going.

11:44 AM · Jun 10, 2026 · 14.2K Views
Sentiment

Positive users highlight productivity gains from AI in code review and bug fixing for software factories, while negative users dismiss the posts as pretentious sales talk or generic advice.

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70.8%
Neg
29.2%
14 comments with sentiment.
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LIKES4
Walden@walden_yan

@joelmjensen Enterprises choose whether or not to opt-in

2hViews 642Likes 4
REPLIES2
Mng@Mng64218162

@walden_yan I think the cost issue is much bigger than you think

2hViews 662Likes 1
Atenov int.@Atenov_D

@walden_yan Been using AI tools for code review and it's been a total time saver, my team's productivity has increased significantly.

3hViews 571Likes 2
Joel Jensen@joelmjensen

@walden_yan Is cognition exempt from the 30 day prompt retention? Given your client list I don’t see how else you could be using this model and complying with your enterprise contracts

2hViews 783
Walden@walden_yan

@Mng64218162 It's definitely a bit issue! A software factory can still be successful even with cheaper models though. I believe all models will keep getting better, not just the expensive ones

2hViews 576
Tim@timcbol

@walden_yan Would love to know your thoughts on what humans SHOULD spend their time doing - as in, after setting up their software factories

3hViews 469Likes 2
Jhsu@pokeapallascat

@walden_yan Agree and new projects or start ups that have been agentic coding without deep review have a security and almost moral inperative to rewrite relevant code bases with Fable sooner than later.

3hViews 357Likes 2
Alex Yates@yatesjalex

@walden_yan Thank you so much for sharing Walden!

Do you have these loops/queues setup per platform? Can you please share more about the most effective way to setup and organize these?

3hViews 648Likes 1
Walden@walden_yan

@Atenov_D Devin review!

2hViews 462Likes 1
Anicet@AniC_dev

@walden_yan how we've been operating for a while

4hViews 224Likes 1
Mooncast Productions@MooncastOnline

@walden_yan Protecting primary agent context and avoiding spending unnecessary tokens on mistakes or exploration is more important now than ever. Local models allow tool calls to be more intelligent than ever. Smart models don't need to do the work, just identify it.

3hViews 570
Atenov int.@Atenov_D

@walden_yan @enzo_gte The cloud software factories are gonna be a must have for every team now. Models are already writing good code and testing UI flows.

4hViews 156Likes 1
E shine@simayi210

@walden_yan The bottleneck was never capability — it's verification. A factory that ships unverified PRs faster just generates review debt faster. The teams that win won't be the fastest to adopt; they'll be the ones with the harness to trust the output.

2hViews 144Likes 1
Hurrairah@hurrim38

The part this needs to answer: when AI is the first-line filter for bugs, logs, and feedback, humans only ever see what the AI decides to surface. Your team's mental model of production quietly becomes a model of the AI's attention. "Haven't opened Datadog in months" is the brag version of that. The first incident in the filter's blind spot lands on people who haven't looked at raw reality all year.

3hViews 342
Kanya@1007_mizuki

@walden_yan cloud software factories are needed now ai fixes bugs faster

4hViews 316
Gregor@bygregorr

@walden_yan hit this last week. fable cleared a supabase RLS bug in 20 mins that had me stuck 2 days. still spent 3 hours feeding it context first. not sure 'software factories' solves that part, does context transfer get easier at team scale or does it just become someone's full-time job?

2hViews 85Likes 1
Mng@Mng64218162

@walden_yan I hope so but from what we see the models get better when they get bigger

2hViews 74Likes 1

@walden_yan every ai post now ends at the same destination

humans should only do the things ai can't do yet

the word doing a lot of work there is "yet" 😭

4hViews 234
andydrewie@andydrewie

@walden_yan @dabit3 the inevitable future of increasingly more expensive models will cause deep insecurities to those who’ll be priced out of using the SOTA luxury ai models. It’ll take some time to adjust as this ai enabled inequalities accelerate our world into a belligerently K shaped economy.

2hViews 162
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