From Conversation to Code
The Journey from Idea to Deployment
Conversation Starts
Someone opens a session on a feature, a bug, or a new idea — typed or spoken. The conversation happens naturally, the way it always does.
Dev Joins In
The AI is in the room from the first message. No forms, no copy-pasting, no context switching.
Everything Captured
DevSpec keeps the full conversation: every message, who said it, in order. It all belongs to the project, so nothing has to be written up afterwards.
Team Joins the Session
Teammates join the session, and everyone who speaks is recorded as a participant. The discussion continues, now with AI assistance.
AI Brainstorm with Full Context
The AI agent has access to your git repos, database schema, 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 agent or developer records implementation and evidence. Commits are linked, and the item moves on from the evidence recorded against it.
Loop Closed
An item finishes on the evidence recorded against it, or when someone with permission verifies it by hand. Either way, the team is told.
Great software ideas rarely start in a ticketing system. They start in conversation, 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 starts with a typed or spoken conversation and a clear plan. A user then explicitly requests named implementation work from an exact authorized agent, or invokes a direct work surface. The agent calls reserve_work_items, then claim_work_item one at a time, while MCP supplies context. When implementation and deployment evidence is recorded, DevSpec notifies the team.
Where Work Begins
Work begins in a session. Open one on a project and start talking — type it, or use voice and let it transcribe. The AI is in the room from the first message, and every message, participant, and decision is captured as you go. No copy-pasting. No manual setup. Nothing to write up afterwards.
Just start talking. No forms, no context switching. The conversation itself is the record.
Why Not Just Decide in Chat
Group chat is great for quick discussion, but it is not built for making decisions about software — the decision scrolls away and nobody can find it later. When the conversation happens in DevSpec instead, you gain 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 a chat window, 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 helps the team converge on a clear, actionable plan grounded in code, schema, and documents. Assignees remain planning/visibility metadata. Implementation begins only when a user directly invokes the work or sends a canonical conversation command to an exact owner/delegated connection target.
Seamless Developer Handoff
The developer opens Claude Code, Cursor, or another supported environment and connects via MCP. The user's request names the work; the agent reserves those ids, claims one at a time, and retrieves the relevant session, brainstorm, and 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 implementation is complete, the agent records the commit and criterion evidence, then stops. Database evidence promotion or an explicitly authorized human verification determines lifecycle under devspec://product/implementation-contract. DevSpec notifies participants from that authoritative state and keeps the session knowledge available for future work.