From Conversation to Code
The Journey from Idea to Deployment
Conversation Starts
Your team is discussing a feature, a bug, or a new idea in Slack (with Teams coming soon). The conversation happens naturally, the way it always does.
DevSpec Bot Mentioned
Someone in the thread mentions @DevSpec. That single action is all it takes. No forms, no copy-pasting, no context switching.
Transcript Captured
DevSpec captures the full conversation: every message, who said it, in order. A new session is created in the linked project with all the context preserved.
Team Joins the Session
Participants from the original conversation are identified and can join the DevSpec session. The discussion continues, now with AI assistance.
AI Brainstorm with Full Context
The AI agent reads the imported conversation and has access to your GitHub repos, database schema, Confluence docs, past decisions, and web search. The brainstorm is grounded in reality, not memory.
Plan Agreed
The team converges on a clear, actionable plan. Decisions are captured as structured knowledge. Action items are created and assigned to developers.
Developer Picks Up via MCP
The assigned developer opens Claude Code, Cursor, or their preferred IDE. Via MCP, their AI assistant retrieves the full session, the plan, and all project context. They start building immediately.
Code Shipped
The developer completes the work and signals it through their IDE. Commits are linked, action items are marked as done.
Loop Closed
DevSpec notifies the team, sends email updates, and posts a completion message back to the original Slack thread (with Teams coming soon). Everyone who started the conversation knows it is done.
Great software ideas rarely start in a ticketing system. They start in conversation, in a Slack thread, between developers and stakeholders, where someone spots a bug or proposes a new direction. DevSpec is built around that reality. It captures the natural flow of team communication and turns it into a structured, traceable path from idea to implementation.
The Timeline
The process follows a natural progression that mirrors how teams actually work. It starts with a conversation in Slack. Someone mentions the DevSpec bot when the discussion needs to move forward. DevSpec creates a session and imports the full transcript. The team brainstorms with the AI inside DevSpec, arriving at a clear plan. Developers are assigned and notified. They pick up the work in their IDE with full context via MCP. When the code is shipped, DevSpec notifies the team and posts back to the original Slack thread. From first message to deployed code, nothing is lost and nobody is left out of the loop.
Where Work Begins
When your team is mid-conversation in Slack and the discussion reaches a point where action is needed, simply mention the DevSpec bot. From that moment, DevSpec takes over, capturing the full conversation transcript, identifying everyone involved, and automatically creating a new session. No copy-pasting. No manual setup. The context your team has already built is preserved and carried forward.
One @mention is all it takes. No forms, no copy-pasting, no context switching. The DevSpec bot captures everything and creates a session automatically.
Why Move from Slack to DevSpec
Slack is great for quick discussion, but it is not built for making decisions about software. When you move the conversation into DevSpec, you gain access to an AI agent that does not just chat. It has live access to your git repositories, your database schema, your documents (with Confluence and Google Drive coming soon), your project history, and every decision your team has made in past sessions. It can read your actual code, check your database structure, reference your documentation, and search the web, all in real time as the team discusses. In Slack, you are working from memory. In DevSpec, the AI brings the full picture to the table.
Structured Brainstorming with Full Context
Inside DevSpec, the AI agent joins as a collaborative expert with access to all of your integrations. While the team talks through an idea, the agent can pull up relevant code, check how similar features were implemented, review the database schema to see if changes are needed, and reference existing documentation. It asks the right questions, surfaces considerations that might have been overlooked, and helps the group think through implications before any code is written. Every member of the session can participate, and the AI works alongside them, not above them. The result is a brainstorm grounded in the reality of your actual codebase and infrastructure, not abstract discussion.
From Ideas to a Plan
As the brainstorm matures, the AI agent helps the team converge on a clear, actionable plan. That plan is discussed, refined, and agreed upon within the session, ensuring everyone is aligned before development begins. Because the AI had access to the code, schema, and documents during the discussion, the plan is specific and implementable, not vague. Once ready, pre-configured developers are notified directly. The team can assign the work to one or more developers, each of whom receives a concise summary of what is needed and why.
Seamless Developer Handoff
The assigned developer opens their preferred environment, whether that is Claude Code, Cursor, or another supported IDE, and connects via the DevSpec MCP server. With a single interaction, the agent retrieves the full session: the original Slack transcript, the brainstorm, and the finalised plan. It also has access to every decision, convention, and piece of context the team has built up across all previous sessions. Crucially, the developer does not just get what was decided. They get why. Every observation captured during the session includes who said what, what alternatives were considered, what trade-offs were accepted, and the reasoning behind each choice. If the developer thinks something looks wrong and wants to understand the thinking, the answer is already there. This is something no coding tool can provide on its own. Claude Code can read your code and guess that someone made a deliberate choice, but it has no record of who made it, when, or why. DevSpec knows because it was in the room when the conversation happened.
What the developer's IDE retrieves via MCP
- get_recent_sessions — discover what the team has been working on
- get_session_transcript — read the full brainstorm and agreed plan
- search_memories — find relevant decisions, conventions, and context
- get_action_items — see what tasks are assigned and their status
Closing the Loop
When the work is complete, the developer signals this through their IDE. DevSpec handles the rest, notifying all session participants, sending email updates to relevant stakeholders, and posting a completion message back to the original Slack channel where the conversation started. Every thread is tied off. Everyone stays informed. The knowledge captured during the session is permanently available for future reference, so the next time someone asks "why did we build it this way?" the answer is already there.