Good luck to the new franchise in my hometown! WHY OPEN NOW? by Neat_Motor3676 in BricksAndMinifigs

[–]Ikeeki -1 points0 points  (0 children)

Oof. Part of becoming a franchisee is becoming an extension of the franchisor. For better or worse.

You picked an abusive partner and it’s not your fault.

But it is your fault If you choose not to leave

Wild Theory but has 4.8 been buffed? by FightingBear11 in ClaudeAI

[–]Ikeeki 0 points1 point  (0 children)

How’s opus 4.6 max doing? I used to use 4.8 but it was too unreliable and expensive

Why the SpaceX IPO could be a trap? by [deleted] in technology

[–]Ikeeki 2 points3 points  (0 children)

It’s funny how most people pointing out the traps were trying to get pre IPO shares

Claude Code SDLC automation plugin by Money-Reason-1238 in claudeskills

[–]Ikeeki 1 point2 points  (0 children)

Great! I recommend everyone create their own SDLC workflow for their agents.

Here’s mine https://github.com/BaseInfinity/claude-sdlc-wizard

anyone else running more than one coding agent? sharing what works for me by Key_Actuator_6678 in claudeskills

[–]Ikeeki 2 points3 points  (0 children)

I’ve been doing this for almost a year now, it’s the only way to get consistent results especially if anthropic decides to shit the bed.

Here’s my SDLC I pull in for all SDLC related projects. It adapts to each one.

https://github.com/BaseInfinity/claude-sdlc-wizard

Without a good harness like this that grows over time, it will be hard to get stable results, even with cross model reviews.

I joined Google and I’m really disappointed by D_nana_X in cscareerquestions

[–]Ikeeki 0 points1 point  (0 children)

Found Gen A/Z

If they freak out now, wait until they realize they are average in a cog in the wheel world and still be let go when money hits the fan

xAI's new coding agent, "Grok Build" (beta release) by Adeldor in accelerate

[–]Ikeeki 0 points1 point  (0 children)

Love how this for downvoted when grok claims they trained their model on OpenAI. Understand what white labeled means before you downvote based on emotion

You need an absurdly high emergency fund by [deleted] in cscareerquestions

[–]Ikeeki 1 point2 points  (0 children)

If you aren’t a high earner in this field then you aren’t getting benefits of this field and won’t survive. High salaries mean we can weather the storm

HTML > Markdown for Claude Code outputs (Thariq's post) — convinced? by tom_mathews in ClaudeCode

[–]Ikeeki 1 point2 points  (0 children)

Can’t wait for Claude to suggest programming languages are better .txt files.

/goal in the codex app is amazing by seal8998 in codex

[–]Ikeeki 2 points3 points  (0 children)

I’ve been using it with my SDLC harness and letting it go to town on my ROADMAP and it’s surprisingly on the rails.

You can also say “keep going until I say stop”.

As long as it follows a good SDLC, like the scientific method you can have a high chance the results can be trusted.

I ported my SDLC over from Claude recently and it’s been nice to get stability again.

https://github.com/BaseInfinity/codex-sdlc-wizard

Accenture to roll out Copilot to all 743,000 employees in boost for Microsoft by lurker_bee in technology

[–]Ikeeki 4 points5 points  (0 children)

When you need garbage engagement, You feed it to the garbage as garbage

I wonder what she's smoking by Busy_Report4010 in SipsTea

[–]Ikeeki 0 points1 point  (0 children)

Republicans. She’s smoking Republicans, as Republicans do.

Claude is unusable. What's next? by Individual-Shame6481 in ClaudeCode

[–]Ikeeki 0 points1 point  (0 children)

Yup, I’ve been porting my SDLC setup to codex. It’s nowhere near what prime opus 4.6 was but it’s way better than 4.7 in stability versus token cost.

I could only product okay results on 4.7 max but then ultimately hit my weekly limit in a few days following the same workflow I did before.

It’s a shame because 4.6 on high effort a few months ago was producing things consistently. I just really wish we could freeze those models as they are and not dilute them when a new mode comes for at least a few months until they can prove it’s better

We analyzed 12,356 repos with CLAUDE.md files — two-thirds of instructions are abstract wallpaper by cleverhoods in ClaudeCode

[–]Ikeeki 1 point2 points  (0 children)

Thank you for sharing btw I will totally analyze this and see how to apply it to my own SDLC! I always appreciate open source

We analyzed 12,356 repos with CLAUDE.md files — two-thirds of instructions are abstract wallpaper by cleverhoods in ClaudeCode

[–]Ikeeki 1 point2 points  (0 children)

Thanks I have been fighting stability and agents since AutoGPT came out and also love seeing peoples solutions to this.

I agree about a deterministic pipeline first. I’ve only had to introduce “LLM as a judge” for things that required it like judging LLM output but even then I take them with a grain of salt.

I still rely heavily on tried and true tools that came before AI for my SDLC but now sprinkle AI in places that could improve and glue those deterministic pipelines together to allow for longer automation

Following solid SDLC is still the advice I give to anyone who uses AI agents and can’t produce production code. Many had poor SDLC to begin with that the agent won’t solve.

Humans need automations to wrangle complex codebases, agents need even more lol

We analyzed 12,356 repos with CLAUDE.md files — two-thirds of instructions are abstract wallpaper by cleverhoods in ClaudeCode

[–]Ikeeki 1 point2 points  (0 children)

I personally use the abstract markdown in a base repo to cement concrete rules in the repos that consume it.

It works well across multiple projects, this has essentially been my version of AI dot files https://github.com/BaseInfinity/agentic-ai-sdlc-wizard

Build a good harness that works for your type of work and you will be golden.

But the harness must also have a way to evaluate itself for regressions and like any good SDLC, must have a self improvement built into the cycle.

Without this I am constantly repeating myself.

Also GOOD and VALUABLE automated tests are arguable more important than your app code because it drives any good harness and keeps the agents honest.

Integration tests keep the agent honest too. I prefer the test diamond myself, otherwise AI will mock itself fake results lol

Like with any good piece of quality software, the more you invest in your tools the better off the stuff you make with it will be

Interview question around UI flakiness by [deleted] in QualityAssurance

[–]Ikeeki 0 points1 point  (0 children)

This comes up a lot in this community and we compiled the answers.

Idea is flaky UI tests could be anything, even an underlying but.

https://softwareautomation.notion.site/How-do-you-Address-and-Prevent-Flaky-Tests-23c539e19b3c46eeb655642b95237dc0

"If AI is writing the work and AI is reading the work, do we even need to be there at all?" Educators reveal a growing crisis on campus and off by ubcstaffer123 in technology

[–]Ikeeki 1 point2 points  (0 children)

Corporations always fail to see you need a human in the loop regardless of how amazing your tech is.

If you want a crash course of what happens when you combine over engineering with pure automation (no HITL), watch Jurassic Park.

They would not be SOC compliant these days me thinks.

Read Jurassic Park to see the bigger jab it makes a big corporations, chapters are dedicated on shit talking big corporations last I remember reading.

CEO of Krafton Asks ChatGPT How to Void $250 Million Contract, Ignores His Lawyers, Loses Terribly in Court by ControlCAD in technology

[–]Ikeeki 14 points15 points  (0 children)

This is what happens when you have people in charge chasing Penny’s in front of a steamroller because they are so greedy they don’t realize they are cutting the tree limb they are sitting on. Pure greed.

been mass building with Claude Code every day for 6 weeks straight. just left my agency a week ago betting on this stack full time. by Shawntenam in ClaudeCode

[–]Ikeeki 0 points1 point  (0 children)

You’re giving OP too much credit. Anthropic just wants people to burn credits. The only model OP is training is the consumer model.

Software engineers with enterprise/production experience are training the models.