LGTM — Looks Good To Meow

What it does

LGTM reviews every pull request with specialized AI agents, runs 16 CI/CD security detectors, and ships a Runtime Watchdog that catches what static analysis misses. Unlike diff-only reviewers, it reads your entire codebase (tree-sitter + PageRank) so reviews understand context, not just syntax. Built for 5–50 dev teams. 🐱

AI code review + LGTM Security scans for GitHub. Merged pipeline (Correctness + Style + adversarial Verifier + Synthesizer) + 36 CI/CD detectors across GitHub Actions, GitLab CI, CircleCI, and Azure Pipelines + org policy with 4-role RBAC + 3 enforcement gates. BYOK OpenAI or OpenRouter (or use Managed AI on DeepSeek V4 Flash). Five tiers: Free · Go ₹999 · Pro ₹1,999 · Max ₹9,999 · Enterprise.

Reviews every pull request like a senior teammate who knows your whole codebase, and keeps a risky change from ever sneaking past merge. Free to start, no card needed. Deep analysis, not shallow linting, for teams who want reliable first-pass reviews and CI/CD security they can trust. Security, bugs, performance, readability, best practices, docs, all in parallel. An adversarial verifier drops anything it can't prove, then one synthesized review posts to your PR. Tree-sitter indexing across 12 languages, a dependency graph, and PageRank'd related files, so reviews catch API misuse and broken assumptions diff-only tools miss. 36 deterministic detectors across GitHub Actions, GitLab CI,…from looksgoodtomeow.in

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  LGTM2017 · github.blog · ▲76

  Automated code reviews for developers

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  We built an AI to review your pull requests2025 · infinitcode.ai · ▲53

  Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…

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  TrailsJan 2026 · trails-red.vercel.app · ▲81

  Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…

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  OpenSwarm – Multi‑Agent Claude CLI Orchestrator for Linear/GitHubFeb 2026 · github.com · ▲34

  I built OpenSwarm because I wanted an autonomous “AI dev team” that can actually plug into my real workflow instead of running toy tasks. OpenSwarm orchestrates multiple Claude Code CLI instances as agents to work on real Linear issues. It: • pulls issues from Linear and runs a Worker/Reviewer/Test/Documenter pipeline • uses LanceDB + multilingual-e5 embeddings for long‑term memory and context reuse • builds a simple code knowledge graph for impact analysis • exposes everything through a Discord bot (status, dispatch, scheduling, logs) • can auto‑iterate on existing PRs and…

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  i built an AI code reviewer for github (used it on itself during dev)2025 · codii.dev · ▲6

  I’ve spent the last 2.5 months building a product that runs LLM-powered code reviews on my pull requests — and I just launched it. The tool is built specifically for solo developers. You install it on your repo, trigger a scan by creating a pull request, and it leaves structured review comments using OpenAI under the hood. Funnily enough, I used the dev version of this app to review its own pull requests while building it. It helped me spot bugs, simplify structure, and keep quality high — all with minimal need for another human in the loop. Things I want to try out in the next months : -…

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  Beating GPT5.5-xhigh for Coding agent security with SLMs and IRMAug 2026 · harden.run · ▲9

  Coding agents craft arbitrary code so securing them is more complicated than red-teaming. We post trained a cyber-security small llm, changed how it reasons and supplemented our controls using program analysis techniques such as inline reference monitoring to outperform GPT5.5-xhigh on hard benchmarks like LinuxArena and SleightBench. Free product available at harden.run and full benchmarks in the blog post.

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  Germany's new sovereign AI model Kolibri▲424

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  Beam.win▲379

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  AI · 5d ago · beam.win

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  FastRouter.ai▲364

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  AI · 23d ago · fastrouter.ai

• IR
  I replaced a $120k bowling center system with $1,600 in ESP32s▲2,935

  I might be the only SRE on Earth with his own bowling center. It's a more in-depth gig than you'd think. My family and I bought an abandoned 8-lane bowling center in the rural mid-west. In our small town there weren't many recreation options for families. You've heard of a food desert? This is an R&R desert. It had been abandoned for a good reason. The roof leaks, the electrical system was constantly surging, and my 70-year-old bowling equipment (still) doesn't work perfectly. The system that keeps your score is particularly interesting to me. It's the thing you watch during your game, but…

  Life & fun · Jul 2026

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  Life & fun · Jul 2026 · john.fun

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  Life & fun · Jul 2026 · 18words.com

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  Bento - An entire PowerPoint in one HTML file (edit+view+data+collab)▲1,033

  Over the past few months, our team has been building more and more slidedecks using web frontend technologies with coding harnesses like Claude Code, but a common complaint is to make even small edits we need to edit the code either manually or via the harness. To avoid this loop, I ended up creating Bento, a single HTML file with everything you need in a slide tool including animations and shared editing. There's no install or cloud login, everything works offline. The default deck is around 560 KB and it doesn't need to fetch anything once you got it. Open it in a browser and then you can…

  Dev tools · Jul 2026 · bento.page

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  Getting GLM 5.2 running on my slow computer▲937

  A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…

  AI · Jul 2026 · github.com

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  OpenSEO▲928

  Hello! For the last 2 months, I've been building OpenSEO. It's a user friendly UI wrapping the DataForSEO API which has high quality SEO data for keywords, backlinks, AI SEO and competitor research. Instead of paying $100+ per month, you buy DataForSEO credits and pay only for usage. The coolest thing about the project so far has been hearing about what people are building on top of it. People are using coding agents to quickly integrate with Google Search Console, Google Ads and building their own AI SEO and reporting features. Many were already building their own custom solutions around…

  Dev tools · Jul 2026 · openseo.so