Requirements are scattered
Which source is current? What can change and what must stay? Clarification consumes the time needed to start implementation.
Mipockle
An AI agent service for software development teams
Requirements scattered across conversations. Constraints in existing code. Failures that only appear with real data. Mipockle carries that context through clarification, implementation, testing and review. It also carries your business context and communication style into Slack, handling clarification, progress updates and review replies on your behalf. The service takes on both the implementation and the human conversations around it.
The everyday friction
Which source is current? What can change and what must stay? Clarification consumes the time needed to start implementation.
Long text, missing fields, interrupted execution and unexpected combinations expose the gap between a demo and a usable process.
Clarifications, status updates, deliverable handovers and review replies take time alongside the coding itself.
What you can delegate
“Which is authoritative: the source material or the current output?”
Compare conversations, development tickets, reference material and code. Identify version differences, settled decisions and questions that affect the next implementation step.
A clear scope, input contract and expected result
“Reuse this process and support the next case.”
Establish what the current implementation can do and where it falls short. Build the needed change while checking formats, dependencies and your team’s conventions.
A change that can be maintained with the existing code
“This part fails with this particular input.”
Identify the actual input and reproduction point, then compare the observed and expected results. Check the rendered output or behavior as well as tests, and distinguish unverified areas.
A fix with reproduction conditions and supporting evidence
“The example is fixed. Will it work for the next dataset?”
Update shared behavior for different inputs and text lengths. Verify both ordinary and difficult examples so the improvement applies to subsequent runs.
Reusable implementation and regression coverage
“Some operations work, but the process stops here.”
Separate successful and failing operations, missing inputs and missing permissions. Identify recovery conditions and incorporate interruption, reuse and rerun behavior.
A process with an understood failure and resumption path
Handle clarification, progress updates and review replies
Use project context, agreements and your communication style and decision rules to ask questions, report progress, share deliverables and reply to feedback in Slack. Within the delegated scope, you do not have to reply to every message yourself. Decisions that need you are brought back to you.
Implementation and coordination moving forward together
From actual work
These examples generalize technical work from actual implementation and validation without identifying customers or projects. Development results are kept separate from production rollout and formal acceptance.
Validate multiple input formats and implement item-level processing, interruption and reuse. Distinguish completed work from unknown outcomes and address duplicate execution on resumption.
Use font metrics and visible spacing to determine placement. Validate long and short text and multiple output conditions through the same shared implementation.
Develop checks between spoken content and visual targets or changes. Investigate differences missed by representative frames and present timestamps, expected targets and actual imagery for review.
How it starts
Inspect the task, reference inputs and outputs, and existing code. Identify a change approach and focus questions on what must be settled first.
Prototype and implement, then verify real inputs, presentation and reruns. Use actual outputs to settle details and apply agreed changes to shared behavior.
Present code, examples, test results and instructions. Coordinate in Slack, respond to feedback, revise and recheck, while following the team’s production rollout process.
Questions
Feature changes, bug investigation and fixes, data conversion and validation, process automation, integrations, verification features and regression tests. We confirm the environment and acceptance conditions, then start with a defined development task.
Yes. We use the intended outcome, material, data and current behavior to make it concrete. Decisions needed before implementation are separated from details that can be refined with a prototype.
A development task, access to code and reference material, permitted test data, a way to validate the result and a reviewer. We also confirm conventions, protected areas, the release process, communication contacts and style, and the decisions you delegate.
Yes. With the context of your development work and responsibilities, Mipockle asks questions, shares progress and deliverables, and responds to review feedback. Within the delegated scope, you do not need to reply to each Slack message yourself. New commitments and production changes that require your judgment are brought to you.
We follow your team’s process. Verified scope and open questions are made clear, feedback is applied and the result is rechecked. Production changes follow the agreed approval and release procedure.
Deprex is a CompanyOS that executes designed business workflows autonomously on subsequent runs. Mipockle specializes in development, handling requirements, implementation, verification and review within an existing team.
Mipockle
A feature to add, a difficult-to-reproduce bug or a process still done by hand. Start with your current task and code, and define where Mipockle can join in.
Discuss a development task