Project Recovery
The build stalled. We get it shipping again.
A project that stalled did not fail overnight. It usually took months of missed dates, quiet scope drift, and a team that stopped raising its hand. We diagnose what actually broke, then run the intervention — not another status meeting.
Where we are honestly. We have not published a case study labeled "project recovery" — turnarounds get folded into the engagement they land in, not marketed as a separate proof point. The closest published proof of taking on a stalled, high-risk system in production is a decade of legacy debt modernized in stages, with zero revenue freeze.
Recognize the warning signs
You already know it if you are living it.
None of these are a single incident. Each is a pattern that has been true for weeks, and everyone closest to the project already knows it.
An AI pilot that demoed well and never reached production
Six months in, the demo still wows stakeholders. Nobody can name what's actually blocking production — the eval framework, data access, the latency budget, or who owns it.
A vendor-abandoned codebase nobody understands
The agency that built it is gone. The repo has no README, no architecture doc, and the one engineer who understood the payment flow left with the last invoice.
A replatform past its date with no cutover plan
The launch date has come and gone twice. Data migration is mostly done, integrations are untested, and nobody has written a rollback plan because nobody expects to need one.
Releases nobody trusts
Every deploy is a Slack thread of held breath. Regression coverage is a rumor, QA is manual, and the last three releases each needed a same-day hotfix.
A team that can't estimate anymore
Every sprint slips. Not because the team is weak — because nobody trusts the estimates enough to plan around them, so planning has quietly stopped happening.
How we recover it
A methodology, not a rescue mission.
Four phases, in this order, every time — diagnosis before roadmap, roadmap before intervention, intervention before handover.
Rapid Assessment & Diagnosis
We read the code, the commit history, and the process around it. We sit in a sprint. We talk to the engineers still here. Within days we know whether the problem is the code, the process, or the team — usually it's more than one.
- Code audit
- Process review
- Team evaluation
Strategic Recovery Roadmap
A roadmap with dates a team can actually hit. Goals tied to a number — uptime, velocity, defect rate — not an adjective. Priorities ranked by what unblocks the most, not what's loudest in the room.
- Measurable goals
- Ranked priorities
- Realistic milestones
Targeted Intervention & Stabilization
The fixes that stop the bleeding first — the crash loop, the data-corruption bug, the integration that fails silently. Then targeted refactors where the architecture is the real blocker. We augment your team directly; we do not replace it.
- Critical fixes first
- Targeted refactors
- Embedded augmentation
Handover & Recommendations
A system stable enough that changing it no longer feels like a gamble. Documentation written for the team that inherits it, not for us. A future-proofing plan that names the next risks before they become incidents.
- Proven stability
- Real documentation
- Future-proofing plan
What a first week typically looks like
Diagnosis starts on day one, not after a proposal cycle.
Day 0 — Intake call
30 minutes. The symptoms, the stakes, the current state. No deck.
Days 1–2 — Audit starts
We read the repo, sit in standup, and pull the incident and deploy history.
Days 3–4 — Team conversations
1:1s with engineers, the PM, whoever owns the roadmap — finding where trust broke down.
Day 5 — Initial findings shared
A plain-language readout of what we found — not a slide deck promising more work.
What you get
Four things at the end of the assessment.
A written diagnosis
What is actually wrong, in plain language, ranked by severity — not a generic health-check template.
A recovery roadmap
Phased, dated, tied to measurable goals — the plan from Phase 2, ready to execute.
A go / no-go recommendation
Sometimes the honest finding is rebuild, not recover. We say so — see when recovery is not the answer, below.
A risk register
The specific things most likely to go wrong next, named before they do, not after.
The honest take
When we say don't.
We turn down recovery engagements when a different Destm service — or no engagement at all — is the honest answer.
When the gap is headcount, not turnaround
A healthy codebase with a healthy process just needs more senior engineers. That is embedded engineering, not a recovery engagement.
When the architecture itself is the failure
If the platform decision was wrong for the business, stabilizing it just delays the real fix. That is legacy modernization territory, or in the worst case, a rebuild we will tell you to do.
When the stall is a product decision, not an engineering one
If the team can build it but nobody has decided what "it" is, recovery will not fix a strategy problem. We will say so in the assessment, not after 3 months of billed intervention.
AI-assisted QA included.
Tests aren't a separate line item — they're how engineers ship covered code. Lower QA budget, faster feedback, better coverage than traditional QA cycles.
Auto-generated E2E
Playwright + LLM scaffold tests from product flows.
Self-healing selectors
Tests don't break when copy or DOM shifts.
Production replay
Real traffic patterns become regression suites.
PR-level impact
Only the relevant tests run on each diff.
Related
How an engagement starts
Three steps to a partnership
Intake call
30 minutes. We listen, you talk. No deck.
Diagnostic
We audit the surface, name the bottleneck, propose a path.
Kickoff
Senior engineer in your standup by week two.
Tell us where it stalled
30 minutes, no deck. We'll tell you within the first week whether this is a recovery, a modernization, or a different conversation.