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Webrix MCP Gateway is enterprise infrastructure for secure AI adoption. It provides a centralized MCP gateway connecting AI agents (Claude, ChatGPT, Cursor) to internal tools (Jira, GitHub, Slack, databases) with SSO authentication, RBAC, audit logging, and guardrails. Employees get instant self-service access to approved tools while security teams maintain full visibility and control. Deploy on-premise, cloud, or SaaS.
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Webrix's answer:
Webrix is the only enterprise MCP Gateway built specifically for AI adoption at scale. Unlike generic API management or agent platforms, we provide purpose-built infrastructure that connects any MCP-compatible AI agent to internal systems through a single secure gateway. Our architecture is built on the open Model Context Protocol standard (avoiding vendor lock-in), provides enterprise-grade security controls from day one (SSO, RBAC, audit trails), and enables self-service tool access without IT bottlenecks. We solve the last-mile problem that blocks AI adoption: giving employees instant, secure access to the internal tools their AI agents need.
Webrix's answer:
Webrix's answer:
AI adoption leaders, VPs of Engineering, CTOs, and technical decision-makers at mid-to-large enterprises (500-5,000+ employees) that build software in-house. These organizations have strong technical capabilities, existing internal tools that need AI integration, and security/compliance requirements that prevent ad-hoc AI tool adoption. Secondary audiences include security teams evaluating POCs, engineering teams wanting faster AI tool access, and IT leaders needing visibility into AI usage and ROI.
Webrix's answer:
Webrix was founded by developers who saw the same pattern repeating across enterprises: employees wanted to use AI tools like Claude, Cursor, and ChatGPT with their internal systems, but security teams had to block access because there was no safe way to connect AI agents to Jira, GitHub, databases, and internal APIs. IT teams were drowning in access requests while developers worked around restrictions. We built Webrix to solve this fundamental infrastructure gap - providing the secure gateway layer that enterprises need to actually adopt AI at scale without compromising security, compliance, or control.
Webrix's answer:
Kubernetes for container orchestration, Helm for deployment management, Docker for containerization, and the Model Context Protocol (MCP) as the core standard for agent-tool communication. Our gateway runs on cloud-native infrastructure with support for PostgreSQL for session management, integrates with standard identity providers (Okta, Azure AD, Google Workspace) for SSO, and uses industry-standard security practices including secrets management, and audit logging.
Webrix's answer:
As a mini-blog, it is a nice alternative for Medium to publish and share information about programming.
However, the community and the organization are biased toward social justice (and they are open to it). You can read its Code of Conduct, it is so vague and politically leads (I prefer a term of service because it defines fair rules for everybody). So it alienates developers that we don't care about politics in pro of people that want to talk about any other topic such as sexuality, how women are unprivileged, and such. It even mandates to use inclusive language. Good grief.
My main complaint is the quality of the community. It is not StackOverflow (so we don't want to ask for an answer here), and most of the top topics are clickbait, such as "how to become a rockstar developer in ... days", "100 tips to become a better programmer" (and it doesn't even talk about programming).
Technically this "mini blog" site allows us to use markdown, and it is okay. However, the whole experience is really basic. Even the template is ugly.
Based on our record, DEV.to seems to be more popular. It has been mentiond 654 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In the previous parts of this series, we explored how PureScript acts as a quiet rewrite of the Web, offering a sanctuary of mathematical precision above JavaScript, and how its universal polymorphism allows it to target wildly different runtimes like Node.js, Erlang's BEAM, Chez Scheme, etc. - Source: dev.to / 1 day ago
Def pending(): drafted = open(DRAFTS, encoding="utf-8").read() out = [] for a in api(f"/articles?username={ME}&per_page=100"): if not a["comments_count"]: continue for c in api(f"/comments?a_id={a['id']}"): if c["user"]["username"] == ME or replied_by_me(c): continue if c["id_code"] in drafted: continue ... - Source: dev.to / 3 days ago
Katalon True Platform is designed to deliver returns across all four ROI categories through its unified architecture and six purpose-built AI agents, all orchestrated by the Katalon AI Assistant. The model is consistent throughout: AI proposes, humans approve. - Source: dev.to / 6 days ago
The search box on the homepage now runs keyword, semantic, and hybrid search, with a toggle so you can compare and watch them disagree. Type pydub and flip to semantic mode to see it get the answer wrong; flip to hybrid to see it get it right again. The whole thing is a 4 MB lookup table, a tiny document index, and about 300 lines of dependency-free JavaScript, lazy-loaded only when you focus the search box so the... - Source: dev.to / 8 days ago
Start tracking costs from day one with a tool like Tokonomics. Start charging when AI costs exceed 15% of revenue or when you see a clear 10x+ variance between your lightest and heaviest users. Early-stage startups can absorb costs temporarily for growth, but set the expectation early that AI features have usage-based pricing. - Source: dev.to / 8 days ago
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