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Software developers spend most of their time no Writing code; Modern industry research has found that actual coding accounts are less than less 16 % of developers’ work hoursWith the rest consumed by operational and supportive tasks. Due to the pressures of the engineering teams “to do more less”, the executive presidents boast of their amount Codebase is written by artificial intelligenceThe question remains: What has been done to improve the remaining 84 % of the tasks that engineers work on?
Keep the developers where they are the most productive
One of the main perpetrators of the productivity of the developers is to switch the context: the continuous movement between the increasing group of tools and platforms needed to create and ship them. The Business Harvard review study found that the average digital factor turns between applications and websites. 1200 times a day. And every interruption matters. The University of California found that it is required About 23 minutes To restore the focus after one completely interruption, sometimes worse, approximately 30 % The intermittent tasks are never resumed. The context’s switch is actually in the Dora Center, which is one of the most popular performance programs developing.
In an era, the companies driven by artificial intelligence are trying to enable their employees to do more Language models (LLMS), some emerging trends. For example, Jarrod Ruhland, the main engineer at Brex, Assume The “developers offer the highest value when focusing on the integrated development environment (IDE).” With this in mind, he decided to find new ways to achieve this, and the new anthropoor protocol may be one of the keys.
MCP: Protocol to bring context to IDES
Coding assistants, such as LLM, such as the index, Copilot and Windsurf, are in the middle of A. Renaissance developer. The adoption speed is invisible. The index has become the fastest growth in history, reaching $ 100 million within 12 months of launch, 70 % of Fortune 500 Microsoft Copilot companies use.
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But these coding assistants were only limited to the context of Codebase, which could help developers writing code faster, but they were unable to help switch the context. A new protocol addresses this problem: Form context protocol (MCP). It was released in November 2024 by man, an open standard that was developed to facilitate integration between artificial intelligence systems, especially LLM tools, external tools and data sources. The protocol is so popular that it was there 500 % increase Of the new MCP servers in the past six months, with an estimated 7 million download in June,
One of the most influential MCP applications is its ability to connect artificial intelligence assistants directly to the tools on which developers depend every day, simplifying the workflow and reducing the change of context significantly.
Take the development of features as an example. Traditionally, the reversal between many systems includes: reading the ticket to track the project, consider a conversation with a teammate for clarification, search for documents for API details, and finally, open IDE to start coding. Each step lives in a different tab, requires mental transformations that slow the developers.
With MCP and modern artificial intelligence assistants like Claude, this entire process can occur inside the editor.
For example, implementing the feature of everything inside a coding assistant:
The same principle can apply to many other engineers ’work, for example, the SRS incident’ response can seem to the SRS:
Nothing new under the sun
We have seen this style before. Over the past decade, Slack has transformed the productivity of the workplace by becoming a center for hundreds of applications, allowing employees to manage a wide range of tasks without leaving the chat window. The Slaughtering Platform reduced the daily workflow.
Riot games, for example, connected about 1000 Slack apps, and watch engineers a 27 % reduction At the time required to test and repeat code, 22 % faster time to determine new errors and an increase of 24 % in the feature of launching the features; All of them are attributed to simplifying the workflow and reducing the friction of the tools.
Now, a similar transformation occurs in software development, with artificial intelligence assistants and their MCP integration as a bridge for all these external tools. In fact, IDE can become the entire center of command for engineers, as was the case for workers in general knowledge.
The MCP may not be ready for the institution
MCP is a relatively emerging standard, for example, there is no SECURIMIM MCP model or built-in permission, and it depends on external applications that are still developing, and there is ambiguity about identity and review-the protocol is not clearly characterized whether there is a procedure that has been run by a user or AI itself, which makes controlling difficult access or access to custom solutions. Lori McFty, distinguished engineer and head of the missionary at the F5 Network Office in CTO, He says The MCP is “breaking the basic security assumptions that we have made for a long time.”
Other process restrictions arise when using a lot of MCP tools or servers at one time, for example, inside a coding assistant. Each MCP server announces a list of tools, with descriptions and parameters, which the artificial intelligence model needs. Drowning the model with dozens of available tools can overwhelm the window of context. Performance decomposes significantly with the growth of the number of tools with some IDE integration operations has imposed solid boundaries (about 40 IDE tools, or about 20 Openai tools) to prevent the router from bloating beyond the model that he can deal with
Finally, there is no advanced way until the tools are discovered automatically or proposed in the context to all of them, so developers must often replace them manually or coordinate active tools to keep things smoothly. By referring to this example of riot games that install 1000 Slack apps, we can see how it might be inappropriate to use the institution.
Less rotating chairs, more programs
The past decade has learned the value of bringing work to the worker, starting from the recession channels that are launched in updates to the “InBox Zero” email methodologies and unified platform engineering information. Now, with AI in our tool group, we have an opportunity to enable developers to be more productive. Suppose Slack has become the commercial communication center.
In this case, coding assistants are in a good position to become a center for creating software, not only when writing software instructions, but where all context and collaborators gather. By maintaining developers in their flow, we remove the constant change of mental strings that are afflicted with engineering productivity.
For any institution that relies on delivery of programs, take a closer look at how your developers are spent on their day; You may be surprised by what you find.
Silvin Calash leads Amnesty International Labs in root.
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