ojr

you need the talent to come up with a better architecture than LLMs, not sure if it will be coming out of Anthropic, but they have a chance.

It's like the boy crying wolf with these models, Deepseek is not as good as Claude, I like using Gemini Flash Lite even, it is good enough for most of my crud app tasks, brownfield projects you don't need the strongest models, but greenfield projects with lack of context from indexed code and lack of domain expertise, I think the Opus models have been working for people

I agree the tech doesn't matter but React Native helps with the deeply layered problem of execution.

React Native apps make more revenue than Flutter and Native apps according to Revenue Cat report published on June 3rd, 2026.

https://www.revenuecat.com/blog/engineering/why-react-native...

I have a way different taste, my coding agent doesn't run in a shell and proposes file changes first without changing them, so its prompt -> propose changes -> accept, bullet has the typical agent workflow, prompt -> create changes -> revert (if you don't like what was changed)

My coding agent leverages vector search and grep, just using grep takes longer and seems more expensive per task.

harnesses are becoming the new tech stack, I created my own and will compare it to how bullet operates, I’ve also built and deployed iOS and Android apps with my tool. When you have built something with the tool, other than the tool, it’s stronger proof.

IDEs can autocomplete tailwind classes but eventually you just memorize them, also with AI assisted coding I don't even write the classes anymore just small adjustments like changing pt-3 to pt-4, AI implemented dark mode in a small app I am working on in one shot, I think tailwind being in the training data helped tremendously with the task.

the resale market for disk has been on a downtrend for years, you can sign into someone's else psn account too and share games, you are a washed up gamer, its okay I am washed up too.

it just a higher level of abstraction but not high enough that it replaces developers, I don't think the LLMs are even capable of reaching that level. Saying the creative process is gone is laughable. A lot of people make these claims and only have an internal tool that no one uses to show for it.

I built a "simple" storage application recently, uploading large files from a phone is not trivial, you can't just command Claude to do it without giving it good context.

This truly shows how king making in venture capital is done, kids have the MIT pedigree but sometimes this is not enough for certain demographics, give them a ton of money to explore ideas and pivot, product is a vscode fork that sells subsidized AI, only possible with venture capital. Providing inference at unsustainable rate deemed as "product market fit". Product loses money until they exit.

VCs that say "I always knew the team was special", give me a break.

I can use Gemini 3 Flash with the harness I built for around 8 years and still not exceed the cost of a Mac Studio with 128GB, the price for privacy is very high. Agentic flows that get stuck can be worked around but I prefer developer velocity.

I spend around $20 a month through API fees using my own harness, https://slidebits.com/isogen. Nothing too special, I prompt it produces file changes using grep and vector search and I can individually accept which files.

I also work on a consumer AI application https://apps.apple.com/us/app/slidebits-studio/id1138731130

For comparison someone showed me an internal company tool he was working on. He had Claude agents dangerously skipping permissions and firing up github branches through a vm sandbox just to make a single feature change. One agent to code and the other to review.

I use Gemini 3 Flash, I've seen the Claude Code setups, bullish on Anthropic people are driving up tokens but I am able to produce outcomes with a fraction of the money.

well 2026 is easily the most software I shipped so AI is definitely making the process faster. Sad if you with agree with the post, I'm outlier though AI has enabled me to build several subscription apps that was able to make money, not a lot but it will compound trust me.

I was able to release two new iOS apps including a game, and a cross desktop application just this year. I refuse to go back to writing code by hand. If it doesn't help your productivity that's okay, ignoring how productive it has made developers like myself is a choice.

AI was also able to help me create my first subscription payment workflow.

It is like farming without Roundup, less crops, more energy, less toxic chemical risks.

I don't think it surprisingly easy at all unless you are running multiple background tasks overnight, I think Gemini will eventually be the default agentic coding agent in the future when it comes to price and efficiency because its backed by sound money.

I don't use the Claude Code harness, grep instead of using a combination of vector search is super expensive and not sure how their read file implementation is. I built my own harness for example that restrict reads and writes in a token efficient manner. Building your own harness will always be the cheapest option in the long run.

My own harness, minimalistic GUI gets the job done nothing too fancy https://slidebits.com/isogen

I am an early Gemini daily driver type engineer, feels like Node, Firefox, React and Tailwind all over again, Claude Sonnet is 10x more expensive, quick thought experiment do you think 10 Gemini prompts is needed to match the quality of one Claude Code prompt? The harness around Gemini is an issue but I built my own (in Rust)

They say programming is dead... I built an AI Streamer platform that responds to a twitch chat

https://slidebits.com/ai-streamer

Not a trivial thing to vibe code without any domain expertise but this project took me under 2 weeks with a AI coding agent harness I built myself. I use Gemini 3 Flash as my main driver as well.

I used regexes in a similar way but my implementation was vibecoded, hmmm, using your analysis Claude Code writes code by hand.

hackernews has a good signal to noise ratio, noise is bad

last time I tried to use nextjs in a cloudflare worker there was a lot of issues

I guess all the publishers and advertisers are worried and complaining about nothing

almost always wrong is just incorrect. Ask it who made Hackernews and it says Paul Graham with a informational paragraph it scraped from Wikipedia, without me clicking into Wikipedia. I can provide so many examples.

For the average Google User, searching for things like who perform in the Superbowl it is not extra hoops and incredibly fast. It's going to power Siri soon, enjoy.

hasn't been my experience, I am able to search for information faster, speed to correct answer has increased on average, I feel, if we start providing examples your argument starts to fall fast. Think about the average Google Search, you really think it gets it wrong? Your search query is probably more obscure than mainstream web users.

Google Search has gotten better unless you think AI mode is a downgrade, the alternative of having a wikipedia article, reddit post or random website as the first result is not better technically maybe morally for you but not matter of factually. The average user does less manual filtering.

I don't use Stitch it doesn't have the context of my codebase, I just tell Gemini to make the UI directly and its able to do it. The only time it failed is when my prompt and goal was bad. I told it to swap expo-audio with react-native-track-player and it was able to do it in one-shot. Implement Revenue Cat and it did it in one shot. I do task by task like all the other agent tools recommended. The harness I made doesn't install packages, it just provides code. I don't use Anitgravity or any Electron-based coding agent, mine has a Rust core and different prompt engineering, not sure why it works so well but it does.

Demo: https://www.youtube.com/watch?v=jKMrvh56F0M Website: https://slidebits.com/isogen

I need to implement a better free trial plan, it's reached enough maturity where its my only and primary way I write code, I also use web chats to help me craft prompts. Reach out to test. https://slidebits.com/support

you can run into payload too large errors, ingesting bunch of context, I use vercel's ai sdk so I can interchange between models but have 0 OpenAI and Claude credits or subscriptions. I use a combination of grepping files like a terminal tool and implemented a vector search database for fuzzy searches, Gemini chooses what tool it wants to use, I provide it create, read, update, delete, functions. There's a few tricks I do as well but if I tell you, you can probably prompt a clone . Sharing the full implementation is basically open sourcing the code.

Demo: https://www.youtube.com/watch?v=jKMrvh56F0M Website: https://slidebits.com/isogen

if you want to try it out let me know, I'll provide free access and a gemini test key

https://slidebits.com/support

I primarily use Gemini 3 Flash with a GUI coding agent I made by myself and its been able to successfully one-shot mostly any task I throw at it. Why would I ever use a more expensive reasoning and slower reasoning model? I am impressed with the library knowledge Gemini knows, I don't use any skills or MCP and its able to implement functions to perfection. No one crawls more data than Google and their model reflects that in my experience.

AI web agent that lives in a wasm sandbox with predefined skills, it creates websites, mobile apps, powerpoint slides (.pptx files), word documents (.docx files), visualize csv data, and creates remotion videos, no external sandbox servers, all in wasm.

Submitted for the Gemini 3 Hackathon https://devpost.com/software/slidebits-betty