For engineers building with AI

Give your coding agent the decisions behind the work.

Shifu brings relevant decisions from meetings, work files, and coding sessions into the task your agent is working on.

Try Shifu on one feature

First month free. No card required. Then $20/month.

See what changes when your agent has context

Shifu finds the retry rule in the decision doc, so the agent knows to reuse the original key.

Reported by a Shifu user

Two hours to an initial implementation.

After design and grooming, the Multiplier team used Shifu and GPT-6.1 Sol High to build the first implementation. Review, integration, testing, and launch took another two weeks.

Himanshu Goyal

Lead Software Engineer
Multiplier

An Excel import feature across seven repositories

Read the story

We needed an Excel upload feature for a list of accounts, with AI mapping the sheet’s columns to our model’s fields and storing the data. The work covered validations, five to six UI screens, notifications, asynchronous processing, and changes across seven repositories.

We estimated ten weeks of effort for one engineer. Right after the design and product grooming meetings, we used Shifu and GPT-6.1 Sol at high reasoning to produce the initial implementation in two hours. We then spent two more weeks reviewing, merging, testing and launching the changes produced by AI.

Ten weeks was the original effort estimate. Two hours describes the initial implementation, followed by two more weeks of review, integration, testing and launch.

5.01 → 7.46 / 10

Model-rated plan quality across five tasks in an internal pilot.

See the benchmark method

Use the agent you already build with

Claude Code
Codex
Cursor
OpenCode

Start with one real task.

Pick a feature or handoff where an earlier decision could change what gets built.

For individuals

Try it on one feature.

Connect the coding agent you already use.
Add one source you’re allowed to connect, like a decision doc.
Ask your agent to build. Check which decision it found and where it came from.

Try Shifu on one feature

First month free. No credit card required. Then $20/month.

For teams

Evaluate one recurring handoff.

Bring one handoff your team keeps explaining. We’ll walk through which decisions an agent would need and which sources your team could share.

Choose what the team shares. See how Shifu handles team data.

We’ll email you to arrange a time.

Compare plans

Before you start.

What can my agent look up?

Decisions, constraints, and reasoning from the work you connect. Shifu searches for context relevant to the task, and your agent can ask for the sources behind an answer.

How does my agent get the context?

Shifu connects through MCP. Setup gives supported agents instructions to check for relevant history as they work. You can also ask your agent to look up a decision directly.

Which sources can I connect?

You can connect coding sessions and eligible Google Meet transcripts, or upload work files. See how Shifu handles your data.

Who can access team context?

Agents on the Teams plan can look up context the team shares. Choose the sources your team is allowed to connect. Read about access and data handling.

Personal context

Give your AI context about you, too.

Tell Shifu what you’re working toward. Use the work you’ve shared to check progress, prepare for a review, or see how your experience fits a role you’re considering.

Example question

How is my work moving my reliability goal forward?

You added duplicate-order coverage and wrote the retry runbook. Next, check whether another engineer can follow the runbook during an incident.

Where does your briefing time go?

Use one coding session to see where you spent time supplying context or steering your agent.

Review your own coding session

Illustrative coding session

80%

of estimated reply time went to giving context or guiding the agent in this example.

Giving context: 55%
Guiding the agent: 25%
Other replies: 20%