Context evaporates
A session ends, a chat resets, a laptop closes. What was tried, what was ruled out and why goes with it.
Investigation infrastructure for developers & AI agents
Mike Trace keeps the evidence behind every software investigation in one durable case file, so you and your AI coding agents work through bugs systematically and spend less time reconstructing what was already learned.
Works with Claude Code, Codex, Cursor, Claude Desktop and other MCP-compatible agents.
Mission Control · illustrative preview
The problem
AI coding agents can move fast, but investigations rarely survive the session they happened in. The evidence lives in scrollback, screenshots and memory, and it is gone when you need it most.
A session ends, a chat resets, a laptop closes. What was tried, what was ruled out and why goes with it.
"It should be fixed now" gets treated like proof. Without a record of what was actually observed, it is hard to tell the difference.
The next agent, or the next teammate, re-runs the same dead ends because nothing told them those paths were already explored.
Engineering time
Debugging time isn't only spent finding defects. It's spent reproducing failures, rebuilding context, retracing code paths, repeating failed approaches, and handing investigations between people and agents. Mike Trace preserves evidence and investigation state so each debugging cycle can build on the last.
Lose context
Start again
Evidence accumulates
Verified outcome
Investigation survives
A conceptual comparison, not a literal account of every investigation. The difference is what survives between attempts.
The goal isn't to make debugging disappear. It's to stop paying for the same investigation twice.
The workflow
Every investigation in Mike Trace moves through the same four stages, and what each stage learns carries forward into the next. Humans and agents always know where a bug stands, what has already been tried and what comes next.
Open a case for the failure and record what was observed, what was expected, screenshots, and the environment it happened in. That starting evidence stays with the case for every investigator who follows.
Follow the failure through code paths, services and environments, and record what has been observed, attempted and disproved along the way, so nobody has to rediscover it.
Narrow the investigation toward the explanations the evidence actually supports. Ruled-out alternatives stay on record instead of being re-tested later.
Apply the intervention, verify it with fresh evidence, and close the case with a complete record of what happened and why, ready for the next time something similar breaks.
In practice
Mike Trace works alongside your coding agent. Ask the agent to investigate with Mike Trace, reproduce the problem, and let the evidence accumulate with the case.
No separate debugging ritual. No investigation document to maintain by hand. The agent investigates; Mike Trace preserves the trail.
Codex, use Mike Trace to find this bug. The image loads correctly, but the generated stones are smaller and shifted toward the top-left.
I'll open a Mike Trace case and trace the failing path before changing code.
Mike Trace Case MT-0009
The evidence points to a DPI mismatch at the coordinate conversion boundary. I'm testing that hypothesis against the failing reproduction before changing the implementation.
Mike Trace Case MT-0009
Cause confirmed. The stones were being converted using a DPI that didn't match the image they were positioned against. The correction passed the targeted regression test. The evidence and investigation history remain attached to the case.
Done.
Illustrative walkthrough of the intended workflow. The case number and session are examples, not a recorded customer investigation.
Evidence-first
Mike Trace keeps what was reported, what was observed and what was concluded apart. A confident claim never quietly becomes the answer. Conclusions have to be backed by evidence before an investigation can be closed.
Bug reports are kept exactly as written, next to the evidence, so the original intent is never paraphrased away.
When an agent proposes a cause, the evidence it relied on sits right beside it, ready for a human or another agent to review.
"Fixed" is backed by fresh evidence gathered after the change, not by a status message.
The case
In Mike Trace, each problem gets a case: a persistent record with its own reference, like MT-0142. The fix matters. So does everything you learned getting there. A case preserves both, no matter who investigated it or how many sessions it took.
Cases live inside projects, projects inside workspaces, and everything inside your own account. Structure stays clear as investigations pile up.
Multi-agent continuity
Investigations outlive any single session or agent. Don't restart the investigation when the agent changes: the next one picks up from the latest handoff, with the evidence, attempts and open questions already in front of it.
Opens MT-0142, captures the failing checkout and records two possible explanations.
Rules one explanation out with evidence and leaves a handoff with the next step.
Picks up the case, reads the handoff and continues from the open explanation.
Reviews the evidence, approves the fix and sees it verified before closing.
Mike Trace keeps track of who is actively investigating a case, so agents don't collide or overwrite each other's work.
Everything gathered stays with the investigation, not with the agent that collected it. Change agents without losing the trail.
Start in one tool, continue in another. An authorized connected agent can pick up the case with the investigation history intact.
Agent integrations
Mike Trace is not another coding assistant. It is the investigation layer your existing agents work through, connected over the Model Context Protocol (MCP), so investigation context keeps moving forward when you switch tools.
Reasoning vs. investigation
Modern AI agents can read code, form hypotheses, run commands, and propose fixes. Reasoning ability alone doesn't automatically provide a consistent debugging environment.
During a difficult investigation, an agent may need to determine what evidence to collect, how to observe a failing boundary, how to compare known-good and failing behavior, how to preserve what has already been disproved, and how to carry that evidence forward when the investigation moves between sessions or agents.
Mike Trace provides that investigation layer. It equips connected AI agents with purpose-built debugging capabilities designed for machine investigators. Instead of rebuilding an investigation strategy from scratch each time, an agent can work through a structured system for gathering evidence, testing hypotheses, observing software behavior, preserving failed attempts, and verifying outcomes.
The AI is the investigator. Mike Trace is the investigation system.
The agent still does the reasoning. Mike Trace gives that reasoning somewhere to work — and it doesn't simply dump more logs into the model's context. Its role is to preserve and structure investigation evidence so agents can reason from what has actually been observed.
Capable reasoning — but each session still has to invent how the investigation proceeds.
Mike Trace investigation layer
Same reasoning ability — now working through repeatable investigation infrastructure.
A conceptual comparison, not a claim that AI without Mike Trace cannot debug. The difference is whether each agent and session has to improvise the investigation process.
Designed for agents
Traditional debugging tools were primarily designed around a human developer manually operating them.
Mike Trace's investigation capabilities are designed so authorized AI agents can request observations, receive structured evidence, preserve investigation state, and continue from evidence gathered by another investigator.
The objective isn't to replace the intelligence of the model. It's to give that intelligence better instrumentation, durable evidence, and an investigation process built for agent-driven software development.
Historical knowledge
Resolved cases don't disappear. They turn debugging history into engineering context: routes that led somewhere before, boundaries already understood, and approaches that already failed. A past cause is a lead, never a verdict. The current investigation still has to establish its own cause with current evidence.
Earlier investigations show where similar problems were found before, and what it took to confirm them.
Failed approaches stay on record, so the next investigator can see what was already ruled out before repeating it.
History can point the way, but it is never reused as the answer. Today's cause is established by today's evidence.
Over time your cases become a body of knowledge about how your systems actually fail, with attribution intact even after an agent is disconnected or replaced. Less time goes into reconstructing what your team already learned.
Security & isolation
Investigation records often contain sensitive details about your systems. Mike Trace is designed so the right people and the right agents see them, and nobody else.
Every investigation lives inside your own account and project. Nothing is shared across customers.
Agents connect only after you approve them in your browser, for a specific project. No tokens pasted into terminals.
Agent access is limited to investigation work and expires. Disconnect or replace an agent at any time.
Mike Trace records recovery decisions but never executes changes itself. Authorizing risky actions stays with people.
We're opening Mike Trace to the first 100 developers for three months at no cost.
Use Mike Trace on the software you already build and debug. We're looking for real-world investigations across different languages, frameworks, agents, authentication systems and development environments.
In return, help us learn where Mike Trace works, where it gets in the way, and what needs to improve.
No cost for 3 months · No obligation to subscribe
Participation includes product research. Research & Data Notice
Limited to the first 100 developers.
Mike Trace has been shaped through real debugging work. The Early Access Research Program expands that testing across different codebases, languages, tools and environments.
We want to understand how investigation techniques transfer across stacks, where agents need better evidence, where integrations create friction, and how well investigation context survives between agents and sessions.
Testing across
Keep the evidence, the attempts and the reasoning behind every fix, so you and your agents spend more engineering time building and less on investigative repetition.
For individual developers getting started with Mike Trace.
For developers using Mike Trace regularly with multiple agents and more advanced investigation capabilities.
For teams and organizations that need multi-user operation, governance, larger agent deployments, organizational controls, and enterprise support.