I wonder if having a good account plan, a good ruleset, and a nice graph of the entire platform would give me tremendous leverage with companies like that. Nothing beats a swarm of agents checking everything, running multiple probes, and finding the best solution for every problem, including generating all the questions stakeholders need to answer before proceeding.
I believe I would end up enjoying life more while everything gets solved through agentic development.
If I compare this with my previous companies (publicly valued companies), I would definitely be on vacation while still delivering perfect PRs and features in a matter of hours, instead of the 2-3 week timelines it took me and my team in the past.
> and finding the best solution for every problem
Genuinely: how? Share some insights. So far I have seen anything exceeding about 2k lines of text in the context diverge. Meaning, throwing more LLM at it rapidly baloons the size at the expense of internal coherence. Things become stale, hallucinated, duplicated and outright faked. Only thing that works is constant manual intervention and pruning of the generated slop.
Not only these things are unable to find "best solution", they are unable to find any solution. Instead (especially for Opus) they seem optimized to convince user that the task is accomplished.
I crafted my own /investigate skill. Think of it as a version of /grill-me where you propose an investigation and dig into it until you come up with a spec backed by evidence.
My investigation skill can create one, two, or dozens of probes with benchmarks. Once you're confident in the solution, you can plan and author the investigation, then execute it phase by phase.
- Post <a href="https://www.minid.net/2026/7/14/how-to-automatise-with-ai" rel="nofollow">https://www.minid.net/2026/7/14/how-to-automatise-with-ai
- GitHub repo with examples of skills and rules. <a href="https://github.com/meerita/monorepo-nextjs-golang-rust-python-ai-rules" rel="nofollow">https://github.com/meerita/monorepo-nextjs-golang-rust-pytho...
meerita · · focus · HN ↗
I believe I would end up enjoying life more while everything gets solved through agentic development.
If I compare this with my previous companies (publicly valued companies), I would definitely be on vacation while still delivering perfect PRs and features in a matter of hours, instead of the 2-3 week timelines it took me and my team in the past.
112233 · · focus · HN ↗
Genuinely: how? Share some insights. So far I have seen anything exceeding about 2k lines of text in the context diverge. Meaning, throwing more LLM at it rapidly baloons the size at the expense of internal coherence. Things become stale, hallucinated, duplicated and outright faked. Only thing that works is constant manual intervention and pruning of the generated slop.
Not only these things are unable to find "best solution", they are unable to find any solution. Instead (especially for Opus) they seem optimized to convince user that the task is accomplished.
meerita · · focus · HN ↗
My investigation skill can create one, two, or dozens of probes with benchmarks. Once you're confident in the solution, you can plan and author the investigation, then execute it phase by phase.
- Post <a href="https://www.minid.net/2026/7/14/how-to-automatise-with-ai" rel="nofollow">https://www.minid.net/2026/7/14/how-to-automatise-with-ai
- GitHub repo with examples of skills and rules. <a href="https://github.com/meerita/monorepo-nextjs-golang-rust-python-ai-rules" rel="nofollow">https://github.com/meerita/monorepo-nextjs-golang-rust-pytho...