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1d ago

How do you stay aware of what your AI coding agents are doing?

I've been running Claude Code, Cursor, and Codex pretty heavily for the last few months and I keep hitting the same loop:

1. Start a task in one agent

2. Switch to something else (Slack, Twitter, another terminal)

4d ago

Has everyone gone through that rough phase while building something?

For a while now, whenever I ve been building different apps, I ve often found myself feeling frustrated and a little scared somewhere in the middle of the process. There s also another difficult phase that comes after building, especially when the product doesn t get the results you were hoping for. You start feeling disappointed, and thoughts like This is never going to work or No one is going to use this start creeping in. Have you ever felt the same way? What helped you get through it, and how do you deal with these thoughts when they come up? :)

5yr ago

What was the biggest challenge you've encountered during your fundraising process?

For those who have successful or unsuccessful experience raising Pre-Seed, Seed, Series A rounds.

6yr ago

Do you think travel planning will change after COVID?

As the founder of destinfo.com which provides free travel guides to any destination in the world, I'm interested to know how people will change their behaviors when planning a trip after COVID-19. PS. you can check Destinfo here: https://www.producthunt.com/post...

1yr ago

How to break down AI product adoption barriers?

Have you ever considered the human biases that might slow down the adoption of your product?

I'm currently working on building my first AI product (coming soon!), and I wanted to share some thoughts on the adoption challenges I anticipate.

1d ago

What's your bar for "safe enough to ship v1" on money or health data?

Checklists always look the same: tested, works, has a landing page. The part that actually slowed me down building in personal finance wasn't any of that, it was "would I trust this with my own bank statement," which isn't really a checklist item, it's more of a gut check that doesn't show up until you're already deep in it.

Curious what that bar looks like for people in adjacent spaces, health data, identity, anything where "it works" and "it's safe to trust" aren't the same question.

2yr ago

What tools do you use for on page SEO?

I use ours at https://www.netjet.io/en/, curious to hear what you use?

4d ago

The bottleneck in software engineering isn't writing code anymore. It's trusting it.

The speed at which AI generates code has officially surpassed our capacity to review it. For decades, the bottleneck in software engineering was writing the code. Today, the bottleneck has shifted entirely to trusting that the code can run effectively in production and actually solve the business problem.
But let's be honest: humans never truly scaled code review anyway.
Throughout my career, I have observed developers approving PRs or MRs that contain critical bugs. When they do engage in the review process, they often focus on stylistic issues. Why does this happen? Because reviewers are overloaded with their own backlogs to manage, and often choose the path of least resistance by saying, "Looks good to me."
Now, we are trying to solve this by throwing AI at the problem!
The Missed Reality: Code Review Wasn't Built for the AI Era
Code review - whether conducted by a human or an LLM - was not designed for this era of autonomous coding. Code review does not actually verify whether the code accomplishes what was prompted, nor do they confirm that the code aligns with its intended specification or that an agent s "task completed" claim is deterministically true.
Even a well-conducted review adhering to the 5-axes best practices (correctness, architecture, security, readability, and performance) falls short. Rarely does a code review verify that the original acceptance criteria were met or that the AI agent didn't deviate from the scope just to finish the PR. LLMs notoriously defer hard, multi-step, or dependent tasks, which means that the intent itself has diverged. Furthermore, reviewers rarely verify that test coverage was maintained or check if the AI agent quietly weakened the tests along the way to secure a passing PR.
This leads to a critical question: Even if a human reviewer or an LLM could effectively manage all these new checks, can they realistically and deterministically do so given the massively increased speed of AI code generation?
The solution? We have to move from opinion-based review to evidence-based verification.
This means building guardrails (what I call the claim checker) that bind the original intent to deterministic evidence: ACs (intents) checks, the builds, the tests, the five-axis code review, the scans, the blast radius of the code change, the docs coverage, requirements are complete and don't contradict each other, and the monitoring coverage in the code.
AI can advise. But only evidence should decide whether to merge or not!
It s a shift we probably should have made years ago. But with agent loops writing code at machine speed, it is now the only way forward.

1yr ago

What "Bad" habits or mindset make you less productive? And how do you fight it?

Sometimes I have a feeling I could use my potential more. E.g. Spending too much time on the internet I could go exercise or read books. Not taking advantage of relationships in terms of networking I should socialise more and ask for help (because I do not do that.). Not being a part of some co-working or so I could have more friends and we could create some projects. ---------- Are you aware of something in your life that keeps you behind? How do you overcome it or compensate?
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