
StackScope.dev | Tech Stack Intelligence for New Product Launches
Analyze websites' tech stacks to identify frameworks, hosting providers, and detect AI-built sites.
@stackscopedev · X
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Analyze websites' tech stacks to identify frameworks, hosting providers, and detect AI-built sites.
@stackscopedev · X

AI agent that reviews code commits, identifies issues, and generates pull requests.
@hyraxai · X

Search indexed open-source code and packages with version history, metadata, and dependency information.
@Jack_Timonen · X

Generates and tests pull requests from code issues using your existing build tools.
@jakemoshel · X
Turn issues into sandbox tested PR’s from your current stack

Generate code documentation automatically on GitHub pull requests.
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests

Analyze any public GitHub profile and generate a fun, shareable Developer DNA report.
@panditdhamdhere · X
Your GitHub profile, sequenced. Vibe-coded DevDNA for fun Turns any public GitHub user into a fun, shareable Developer Genome report - power level, languages, chaos, coffee estimate, the works. No auth . Just a username. Use it -

Upload datasets to automatically find statistically significant correlations and causal relationships.
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

Work through code review challenges and system design problems to practice technical evaluation.
u/Most-Football-4401 · Reddit
AI is writing more and more of our code. I think that means we need to get much better at reviewing it. We have a lot of tools to practice coding (LeetCode, HackerRank, Codewars, and so on). But I see very little on practising reviewing code, especially code written by AI . I am aware industry is running to build tools for AI review AI written code (the fox guarding the henhouse). But I believe it is just a matter of time before regulators start slapping hands for doing so in regulated indus

AI tool that discovers hidden bugs in your application using verification analysis.
@uriel_bitton · X
As you add more features to your vibe coded app, you increase the chances for bad behaviour. The worst part is you dont know they exist Every beta user i've had try out the app told me they found a few issues they had no idea existed Find yours using

Analyze GitHub repositories to discover and score paid work and contribution opportunities.
@bashops_dev · X
Building BashOps Radar—repository intelligence for developers. Helping developers identify contribution opportunities that can lead to contracts, paid sprints, and long-term work.

Track Claude Code usage, costs, and productivity across your team with per-user dashboards.
ninomae · HN
Aimeterly – Per-user cost dashboards from Claude Code's built-in OTel

AI-powered code review tool that executes code in microVMs to detect more bugs.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db