SAN FRANCISCO, CA — Momentic has launched a serious platform replace that rethinks software program verification for the AI period. AI coding instruments have made it attainable for groups of all sizes to ship extra code than ever earlier than, however how that code will get validated has not saved up. The result’s bugs reaching manufacturing quicker than groups can catch them, and engineering groups caught firefighting hotfixes as a substitute of transport.
Each Momentic agent — whether or not constructing new assessments, classifying failures, or therapeutic damaged ones — runs on a shared information base of how your product really works. Groups can outline terminology, essential flows, and customary failure patterns; Momentic maps each person journey and retains that understanding present because the product evolves. It ingests Jira tickets, GitHub, assist docs, Slack, and connects with different inner instruments, so the system at all times is aware of what’s altering, what’s breaking, and whether or not a failure is an actual bug or from an meant change. The result’s a system that will get smarter the extra you employ it.
Key capabilities on this launch embrace:
Take a look at Protection That Grows With Your Product
Most groups share the identical downside: protection gaps that widen each dash as a result of writing new assessments doesn’t scale with the pace of transport. Momentic’s Discover Agent closes that hole mechanically. It displays pull requests, reads diffs and codebase context, identifies which flows lack protection, and proposes new assessments or updates current ones, with none handbook authoring.
Failure Classification and Therapeutic: From Noise to Sign
Flaky assessments and noisy CI pipelines are one of many largest drains on engineering time, and one of many important causes groups cease trusting their take a look at suites. Momentic’s Failure Classification Agent mechanically categorizes each failure: actual bug, meant utility change, take a look at setup difficulty, or transient error. When a failure isn’t an actual bug, Momentic proposes a repair and opens a PR. When it’s, the staff will get a high-signal alert with full context on precisely what broke and why.
Legacy take a look at frameworks produce artifacts that solely the engineer who wrote them can perceive. Momentic’s new take a look at format is intent-based and readable by each people and AI brokers. Engineers describe what they wish to take a look at in plain English; Momentic executes it reside towards a browser or emulator.. AI brokers can parse, construct, and modify assessments extra successfully, making the whole growth loop quicker and extra autonomous.
Momentic’s clients are already seeing the advantages of its launch with measurable impression. In a couple of weeks of beta entry alone, Momentic’s brokers analyzed over 70,000 take a look at failures, opened 400 pull requests, and wrote 600 assessments with a 73% merge charge. In complete, clients have executed greater than 2 billion steps on the platform and verified over 80,000 PRs: proof that agentic verification doesn’t simply sustain with the AI coding instruments, it really offers engineers the arrogance to ship extra with them, quicker.
For extra details about Momentic’s availability and pricing, go to momentic.ai/pricing.