We’re launching the missing team layer for AI-powered development 🚀 The SDLC was built around coding. Coding has changed, and the SDLC must be updated. Lightsprint makes agentic development collaborative with visual plan mode, parallel cloud agents and PR preview environments. Try now: lightsprint.ai

Coding agents can build almost anything now. The hard part is making sure they build the right thing. The most common thing we hear from teams using agents is that they shipped fast and then rebuilt it. The code was fine. The team just wasn't aligned on what they wanted before the agent started. That's why we built visual plan mode in Lightsprint. We call it visual spec driven development: - Before any agent writes code, Lightsprint writes the technical spec. - It also generates a design spec with a full, clickable preview of how the frontend will look. - Engineering aligns on the tech spec, and product and design align on the design spec. Only then does it go to the agents to build. Alignment is what Lightsprint stands for. When everyone agrees on the plan and the screens up front, rework drops, reviews get shorter, and what ships is what the team actually meant. Faster agents make alignment more important, not less.

A small design update: every task now gets an instant title summary, no matter how long the request is, so your team can see at a glance what each ticket is about ❤️

Non-engineers have already shipped thousands of PRs with LightSprint. Full story on our blog: lightsprint.ai/blog/lightspr…

Teams are shipping faster, and some now have PMs and designers shipping too. PR review is the new bottleneck. Lightsprint already consolidates feedback from all your code review agents (@GeminiApp Code Assist, @cursor_ai Bugbot, @greptile , @coderabbitai , or whichever you use) into one place and sends it back to your agent to fix. Now every PR also gets a flow diagram that maps the change: which components were added, removed, or modified, with line counts on each so reviewers can see where the real changes are. Tech leads tell us it’s the fastest way to figure out where to start, instead of reading the entire diff top to bottom.

Everyone wants to know which model writes the best code. Zest just published data on 866 agent-written PRs from their own repos, August 12 to October 4. Once they compared the same engineer, repo and week, the gap between models mostly disappeared. PRs under 100 lines got a should-fix flag from their reviewer 11% of the time. PRs between 1,000 and 3,000 lines got flagged 57% of the time. PR size isn’t decided at review. It’s decided much earlier, when someone writes “add bulk export” in a ticket and an agent takes it literally. The old flow assumed an engineer would quietly break that down in their head. Agents don’t. They’ll happily write 2,000 lines against a one-line ask. The leverage isn’t swapping models every month. It’s agreeing on scope, the slices, and what “done” looks like before the agent starts. That’s a product conversation as much as an engineering one. The model is the easy variable to change. The plan is the one that moves the numbers.

Jira and Bitbucket integrations are live. If your team runs on the @Atlassian stack, Lightsprint now picks up tickets from Jira / opens PRs into Bitbucket. Same workflow GitHub teams had, no migration required. Try the collaborative software factory: lightsprint.ai

New in Lightsprint: Console Mode 🔥 Most agent tools bury you in a chat or a board. Never both. Console mode: flip from kanban to an IDE-style view. Agent session on one side, live preview on the other. Same task, same PR. Built for developers who want to see the work, and for PMs who want to track the tasks on the board.