Dev tools · alternatives · 2026
24 alternatives to Archlint
Architectural guardrails for coding with AI agents.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1FL
Hi HN! We just launched Codacy Guardrails, an IDE extension with a CLI for code analysis and MCP server that enforces security & quality rules on AI-generated code in real-time. It hooks into AI coding assistants (like VS Code Agent Mode, Cursor, Windsurf), silently scanning and fixing AI-suggested code that has vulnerabilities or violates your coding standards, while the code it’s being generated. We built this because coding agents can be a double-edged sword. They do boost productivity, but can easily introduce insecure or non-compliant code. One recent research team at NYU found that 40%…
2025 · its alternatives →
- 2
Straion▲376Hi HN — we’re building Straion (founders are ex‑Netlify, ex‑Elastic, ex‑Dynatrace). Core idea: static AGENTS.md / CLAUDE.md files are useful, but they often become too broad for real tasks. Instead of injecting all guidance every time, Straion selects the relevant rules per task and keeps context narrow. How it works today: 1. You define org/team/project rules centrally 2. A CLI skill calls our pipeline during agent workflows 3. Straion returns only the rules relevant to the current task 4. The agent gets focused context instead of a giant rules dump This reduces context bloat…
Feb 2026 · straion.com · its alternatives →
- 3
Arch▲314Hey HN — I’m Adil from Katanemo (with Salman, Shuguang, and Meiyu) We previously shared an early version of this project as ArchGW. Based on customer feedback, the scope expanded from “LLM routing and model access” into something broader: delivery infrastructure for agentic applications. We renamed it to Plano and reworked the architecture accordingly. The problem On-the-ground AI practitioners will tell you that calling an LLM is not the hard part. The really hard part is delivering agentic applications to production quickly and reliably, then iterating without rewriting system code every…
2024 · github.com · its alternatives →
- 4
Snyk Studio▲210Real-time security guardrails for your AI code assistant
Nov 2025 · snyk.io · its alternatives →
- 5
Free AI code reviews directly in the IDE
2025 · coderabbit.ai · its alternatives →
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CodeOrbital▲115Code, preview, share, and host with AI Power
2025 · codeorbital.vercel.app · its alternatives →
- 8
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…
2025 · infinitcode.ai · its alternatives →
- 9
As a Security Engineer with over 10+ years in industry, I kept running into the same problem with coding agents: Instructions are not guarantees. I put guidance in `CLAUDE.md`, `AGENTS.md`, memory files, MCP descriptions, and tool documentation. I explicitly told the agent things like: - Use the code graph for architecture questions instead of grepping the repository. - Do not use deprecated APIs or Unsafe code. - Prefer specific tools for specific tasks. The agent would still ignore those instructions surprisingly often. It would grep the entire repo, use deprecated APIs, or choose a slower…
Apr 2026 · sigmashake.com · its alternatives →
- 10
Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…
2025 · archestra.ai · its alternatives →
- 11
Agentinel▲18Stop AI agents from installing malicious packages.
Jul 2026 · agentinel.habitwala.in · its alternatives →
- 12
Stop AI hallucinations by fixing your repo in one command.
Apr 2026 · agentlint.app · its alternatives →
- 13
VibeDrift▲28Your AI agent checks your codebase before it writes
Jul 2026 · github.com · its alternatives →
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GitGhost AI▲10Make AI-built code reviewable before it ships
Aug 2026 · gitghost.ai · its alternatives →
- 15
Local AI agent guardrails, budgets, & circuit breakers.
Jun 2026 · stackmint.ai · its alternatives →
- 16
Prompts & Code into Cloud Architecture
Jan 2026 · forgearchitect.com · its alternatives →
- 17
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.
Aug 2026 · harden.run · its alternatives →
- 18
Prevent architecture drift from editor to CI to cloud
Jun 2026 · archpilot.org · its alternatives →
- 19
0pirate▲7The zero-knowledge engineer that fixes code without seeing
Nov 2025 · 0pirate.com · its alternatives →
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7 layers between your AI agents and disaster.
Feb 2026 · takeinterest.ai · its alternatives →
- 22
Rule-based code fixes. No AI hallucinations. Just results.
Dec 2025 · its alternatives →
- 23
Your AI has your code's text, never its map. Fix that.
Jun 2026 · luuuc.github.io · its alternatives →
- 24
We just shipped Simulation Studio in ArchtSoft. It lets you simulate and compare software architectures before writing code — focusing on performance, scalability, resilience, and cloud cost trade-offs. What it does: Simulates architecture behavior under different load scenarios Compares alternative designs side-by-side Evaluates AWS / Azure / GCP implications early Surfaces bottlenecks and failure risks before production Helps reduce redesign cycles and cloud overspend The goal is simple: move architecture decisions from assumptions to evidence. This is especially useful for:…
2025 · archtsoft.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →