Cursor Reviews

Emergent Reviews

1. greg pickersgill

   5 months ago
   Significant time and cost invested, but repeated deployment issues prevented launch

   I used Emergent to build and prepare a website intended for a live launch. The concept of the platform is promising and the early build experience suggested it could be a very useful tool. However, over several days I encountered repeated technical and deployment problems that ultimately prevented the site from going live.

   During development I experienced:

   Deployments reporting as successful while requested changes did not appear on the live site

   Inconsistent behaviour between preview and production environments

   Multiple requests needing to be repeated before partial fixes were applied

   Credits being consumed while trying to resolve issues that appeared to be platform-related rather than user error

   A major concern was the level of customer support during this period. Responses were often delayed, acknowledgements did not translate into timely resolution, and there were gaps in communication while the work was effectively at a standstill.

   Most recently, the build engine itself indicated it was unable to resolve one of the problems, leaving no clear path to complete deployment despite continued attempts.

   In preparation for launch, I had already invested in supporting services such as voice generation through 11 Labs and a Canva subscription to create promotional materials linked to the build. These were arranged specifically for rollout, so the inability to achieve a stable deployment resulted in additional wasted expense beyond the platform itself.

   As someone trying to move from development to an operational launch, this created a significant setback in both time and cost despite sustained effort to work through the issues.

   The overall idea behind the platform is strong, but in my experience the reliability of deployment, consistency of updates reaching production, and speed of support response were not yet dependable enough for a live environment.

   • Slow or inconsistent customer support responses when issues arise. • Acknowledgement of problems does not always lead to timely resolution. • Deployment process can report success even when changes have not actually gone live. • Repeated troubleshooting cycles may consume credits without resolving the underlying issue. • Communication gaps during fault resolution can leave projects at a standstill. • Limited transparency on what is happening behind the build/deployment pipeline when errors occur. • Platform can feel difficult to rely on for time-sensitive or production launches.

Cursor mentions (9)

• As SpaceX deal looms, Cursor partners with Chainguard to secure open-source dependencies in AI-built code

  Cursor has spent the past week in headlines after confirming a partnership with SpaceX that could eventually lead to a $60 billion acquisition. The deal, for now, centres on training more capable coding models using SpaceX’s compute infrastructure. - Source: dev.to / 1 day ago

• How to Get Your First Tool Online

  The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / 13 days ago

• I almost credited llms.txt for a Google AI Mode win. Then I read what Google actually says.

  Where llms.txt genuinely gets read is a different layer: coding and agent tooling — Cursor, Claude Code, GitHub Copilot, Windsurf — pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / 13 days ago

• Tokens, Context, and Why Small AI Tasks Aren't Cheap

  If you don’t believe me, go to Google AI Studio, get you an API key, create a project, then open Cursor, add the key, add whatever model they have available to use, run a task and you will see how models like Gemini 3.5 or 2.5 Flash which gives you 5 Requests Per Minute and 20 Requests Per Day will scream at you with hitting a limit rate. - Source: dev.to / 20 days ago

• Use LLM for EDA licenses analysis

  Here is an example how to connect Prometheus DB to Cursor AI code editor. - Source: dev.to / 10 months ago

Emergent mentions (0)