GitHub Copilot Reviews

1. Stan

   · Founder at SaaSHub · over 2 years ago
   Indispensable

   It definitely increases my productivity.

   🏁 Competitors: Tabnine

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.

GitHub Copilot mentions (387)

• 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 / 14 days ago

• GitHub Copilot for Engineers: Getting Better Results

  You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / about 1 month ago

• Agentic: Which App/Harness Is Best for Angular Development?

  For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / about 1 month ago

• Your Design System Needs An MCP Server

  Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / about 1 month ago

• Custom Copilot Agents: Building Domain-Expert AI Teammates with Skills, MCP Tools, and Custom Knowledge

  Most developers still treat GitHub Copilot like a very good autocomplete engine. That's useful, but it's not the real unlock. - Source: dev.to / about 2 months ago

Emergent mentions (0)