@dash12_dev · X

analyzes n8n workflows and Make scenarios, finding breakpoints, cost risks, and hidden reliability issues.

@kashyap_ai · X

caudena · HN

WeaveScope – Elixir native observability for AI agents

@NimraWeb3 · X

So I vibe coded my own with Lovable TradeBook. Log trades w/ session, killzone, model, grade, R:R + screenshots, track multiple accounts, get a real dashboard (equity curve, win streaks, pair/session breakdowns). Demo: GitHub:

@OprosOlamiflex · X

Check out what I just built with Lovable!

@yourroadmark · X

Roadmark: version control for product roadmaps. Branch the plan to compare scenarios, and every change carries the why, so a date that moved six months ago isn't a mystery today.

@Sparsh209 · X

Hi isha! Check it out here at: Would love to hear your feedbacks

@wtAngat · X

chenglong-hn · HN

Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

u/SnooStrawberries827 · Reddit

my team had 47 open PRs and nobody was reviewing them, so I gamified it our team hit 47 open PRs at one point last month and nobody was reviewing them. tried slack reminders, deadlines, rotating reviewers, none of it really stuck. might be related to the fact that everyone's hyped about how fast AI can write code now, copilot cranking out entire features in hours, but none of that matters if the PR just sits there for a week. feels like writing code stopped being the bottleneck a while back

@mohasani · X

@Robby_Seventeen · X