The counterintuitive take
DITCoder
A coding agent should make its authority visible before it changes your work
Fast code generation is easy to demonstrate. Recovering trust after an agent changes the wrong thing is harder. DITCoder is built around a host-enforced workflow: inspect first, clarify uncertainty, propose a plan, wait for approval, make bounded changes, verify them, and run a separate self-review before claiming completion.
The human moment
When an agent proposes a risky change, the developer should not have to infer whether the warning is binding. DITCoder moves the boundary into the host so planning, approval, tool exposure, and review are parts of the execution path.
What the product does
Capabilities connected to a real job
Give developers an inspectable local coding-agent workflow across model providers. The capability list below reflects the current product or development scope—not a generic wishlist.
Who it is for
Developers who want a local coding-agent interface with explicit authority, durable context, and provider choice.
What to remember
Make safe workflow part of the product, not a suggestion in the prompt.
The honest boundary
What we will not pretend
DITCoder is in development. It requires a tool-capable model and local configuration; provider compatibility, model behaviour, and generated changes still require human judgment.
From product insight to your workflow
You may not need this product. You may share the problem behind it.
DeeSha uses its portfolio as proof of how we investigate workflows, make difficult boundaries visible, and ship working software. Tell us where context, handoffs, or repeated manual work are costing your team.