Hours to turn one spec into tickets.
The PM splits the work, writes each ticket and picks an owner. The team waits.
See the fix ↓Specs become tickets by hand. Handoffs lose the context. Decisions vanish into Slack. Docs drift. Leads call meetings to learn the status. When people leave, the knowledge leaves with them. Every software team knows these six problems.
The PM splits the work, writes each ticket and picks an owner. The team waits.
See the fix ↓QA gets a ticket title. Then they ask the developer what changed and what to test.
See the fix ↓Six months later, the team argues the same decision again. Nobody remembers the reason.
See the fix ↓The code moves every day. The architecture doc does not. Someone spends hours to fix it, then it drifts again.
See the fix ↓Leads call a meeting to learn what a good system can already tell them.
See the fix ↓The lead takes the reasons. QA takes what to test. The PM takes the project story. The team guesses, or starts again.
See the fix ↓Your tools store the tickets. Nothing carries the work, or the reasons, from one person to the next.
Each task flows like a lamp on a river. It stops with each person while they do the work. When they finish, it moves on by itself, with everything the next person needs.
Dhara is an AI project execution system for software teams. It understands your project, plans the work, hands it from person to person, and keeps every decision on record.
धारा means "stream". A tracker waits for people to update it. Dhara moves the work forward by itself, and a person approves every decision.
Remove the work about the work, so software teams spend their time on building.
Every team of people and AI agents works from one living record of what it builds, and why.
Your team keeps talking in Slack, meetings and PRs. Dhara comes to the conversation.
The AI proposes. A person accepts every decision, plan and priority change.
GitHub, Slack and your coding agents through MCP. Nothing to rebuild.
Each decision adds to the record. Six months in, Dhara answers questions no new tool can.
A PM writes the spec. Dhara splits it into tasks and sends each task to the right role and code owner. Each stage confirms with proof. Then the work moves to the next person, with everything they need.
PMs and leads spend hours to split specs into tickets and pick owners. Work waits in a queue.
Splits the spec along real code boundaries. Assigns each task by role and code owner. A person accepts the plan.
A plan with owners on the day the spec is ready. Work runs in parallel.
Dhara checks the proof, confirms the stage, and writes the test plan from the spec, the decisions and the code change. Nobody asks "what changed?" again.
QA gets a ticket title. Then they chase the developer to learn what changed and what to test.
Checks the proof, confirms the stage, and writes the test plan from the spec, the decisions and the code change.
No chasing. QA starts when the PR merges, with exact test cases.
@dhara SSO login is done.
Why case 2 matters. The team decided to link accounts by email (D-14). An earlier bug created duplicate users (DHAR-412).
Not in scope: Microsoft SSO. That is a separate task.
Each project gets its own bot. Call it in a Slack thread, from the browser, or on the Canvas. Dhara turns the talk into a proposal. A person accepts it. The plan updates.
Decisions happen in Slack and meetings. Nobody writes them down. Six months later, nobody knows why.
A bot for each project captures the decision where people talk. A person accepts it. The plan updates.
Every decision and its reason, with no new place to talk and no notes to write.
The spec and the architecture update from accepted decisions. Old decisions stay on record, marked as replaced. Six months later, people and agents can still read what you built, and why.
Docs go out of date in weeks. Someone spends hours to fix them, then they drift again.
Updates the spec and the architecture from accepted decisions. Keeps replaced decisions on record.
Docs that people and AI agents can trust, with no upkeep.
Login is slow under load. The session table in Postgres is the hot spot. Move sessions to Redis?
Agreed. Keep the 24 hour expiry. I can set up the cluster this week.
Reason: login latency under load. Replaces D-07. Rejected option: a bigger Postgres instance.
✓ Accepted by Asha · 2 tasks created for Vikram and RohanSessions live in Redis. They expire after 24 hours.
History: D-07 Postgres session table (2025) → D-21 Redis. Reason: login latency under load. Accepted by Asha.
Anyone can ask for the current state of a project. Leaders get a daily brief. To change a priority, type one line. Dhara shows the impact first. When you confirm, the team gets new instructions.
Leads call meetings to learn the status. A priority change reaches the team late, or in pieces.
Answers status questions from real signals. Applies a priority change after you see the impact and confirm.
Fewer status meetings. The whole team realigns in one step.
From: GitHub, CI, ledger · no status meeting
✓ Plan updated. Rohan, Meera and Vikram have new instructions.
It happens in every role. When a lead leaves, the reasons go. When QA leaves, the test knowledge goes. When a PM leaves, the project story goes. Dhara keeps all of it in one record. The next person asks, and gets an exact answer with sources.
People leave or change teams in every role. What they knew leaves with them. The next person waits, guesses, or starts again.
Records decisions, specs, test plans and incidents as the work happens. When someone leaves, it asks them about the gaps.
Knowledge transfer stops being a bottleneck. Handover takes one conversation. The next person is ready on day one.
Why do sessions live in Redis and not in Postgres?
Login was slow under load (INC-031). The team moved sessions from Postgres (D-07) to Redis (D-21). Arjun led the change before he left in May.
Sources: INC-031 · D-07 · D-21
Each answer comes from the record, with sources. Each person sees only what their role allows.
When someone leaves, they tell Dhara. Dhara looks at their past work and finds the gaps: code they own with no recorded reason, tests only they ran, promises only they know. It asks them about each gap and links every answer to the right project and feature. The next person knows it on day one.
@dhara My last day is 30 May. Start my handover.
You own 3 areas. I found 2 gaps in your past work. Here is the first one.
In payments/webhook.ts the retry limit is 5. No decision explains it. Why 5?
The bank API blocks us after 6 calls a minute.
You ran the load test before each release. Nobody else has run it. Where is the script, and what is a pass?
ops/load.sh. Pass means p95 login under 300 ms.
From Arjun's handover. Keep the retry limit at 5. The bank API blocks after 6 calls a minute.
Kiran's coding agent gets the same context through MCP.
Agents are fast. They start each task with no idea what the team decided, or why.
One protocol now links agents to GitHub, Slack and trackers. Dhara uses it in both directions.
Trackers add AI on top of tickets. A ticket has no place for the reasons, the handoff or the proof.
The team is now people plus agents. Both need one system that plans the work, routes it and remembers why.
The same five problems, across one working week.
Dhara removes a different chore for each role. Nobody has to change how they talk.
Daily brief. Ask any question. Change a priority in one line and see the impact first.
No ticket grooming. Every decision and its reason stay with the spec.
Your agent gets the files, contracts and history through MCP. Status updates as you work.
Each handoff carries the change, the test cases and the reasons. No chasing.
Ticket trackers wait for people to update them. AI search tools read old threads. Dhara plans, routes and hands off the work, and keeps the record as it goes.
| Ticket trackers | AI search and context tools | Dhara | |
|---|---|---|---|
| Unit of work | A ticket | Existing docs and threads | A project with its full history |
| Who writes tasks | People, by hand | Not in scope | AI from the spec. A person accepts. |
| Assignment | Manual | Not in scope | By role and code owner |
| Handoff | A status change | Not in scope | Next person gets instructions and context |
| "Done" means | One checkbox | Not in scope | Each role confirms with proof |
| Docs | Separate wiki that drifts | Answers from old threads | Update from accepted decisions |
| When someone leaves | Their knowledge leaves with them | Only what was written down | Decisions, specs, test plans and reasons stay |
| AI agents get | Ticket text | Search results | Task, context and decision history |
We are opening Dhara to a small group of software teams. You bring one real project. We connect your repos and Slack, run the project with you, and measure the meetings, handoff questions and doc hours it removes.